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How to make buildings resistant to earthquakes?
Now in Iran, according to my suggestion, Unilit roof is used in the roofs of residential and office buildings, which is very light. I took this suggestion in an article for the seismological organization in Tehran and gave 14 suggestions to prevent the Tehran earthquake, including 2 They implemented it. One of them removed the bricks from the roof of residential and office buildings and put unilite and poured concrete on top of it, which is very resistant because there is a round rod inside the bits and it was mixed with concrete, and I also said that in metal buildings from 7 or 8 should be used next to the walls because it makes the Masguni houses stronger and also 2 parking spaces should be used under the buildings, like palm trees or dates, which have deep roots and will not fall during an earthquake. Buildings must have deep roots and also in the science of retrofitting structures, divergence is used, that is, natural or artificial rubber is used under the pillars of the houses, and steel springs are used in the middle, so that during an earthquake, the building, like a car or A car that has a spring and the springs play, the building goes up and down but does not fall, and this is a building engineering science that makes buildings resistant to earthquakes and natural disasters. And secondly, through the injection of water and salt solution, the energy of the faults can be removed. Because it comes from the earth's core, which has 6000 degrees Celsius of heat. At any moment, this heat transfers to the surface of the earth. Therefore, the energy inside the earth must be removed, and by transferring the water and salt solution that all the oil extraction companies have, which is known as the injection of water and salt solution, like a tiny needle that is inserted into a balloon so that the balloon does not burst, we humans can create an artificial earthquake. Let's prevent the earthquake explosion and create an artificial earthquake ourselves and release the pressure inside the earth. And 3, we should not build residential or office buildings where there is a fault line, because the buildings are heavy and the taller and bigger they are, the more pressure is placed on the faults. So either we have to build a single floor or not at all to prevent an earthquake from happening.
Wisam Fawzi added an answer
I saw that this technique is used in most Iranian structures and my personal opinion is a successful technique.
László Attila Horváth added a reply
Did you used technics of Ioannis Lymperis ?
László Attila Horváth added a reply
Did you used technics of Ioannis Lymperis ?
Ioannis Lymperis added a reply
The Ultimate Anti-Seismic Design Method
The design mechanisms and methods of the invention are intended to minimize problems related to the safety of structures in the event of natural phenomena such as earthquakes, tornadoes, and strong winds. It is achieved by controlling the deformations of the structure. Damage and deformation are closely related concepts since the control of deformations also controls the damage. The design method of applying artificial compression to the ends of all longitudinal reinforced concrete walls and, at the same time, connecting the ends of the walls to the ground using ground anchors placed at the depths of the boreholes, transfers the inertial stresses of the structure in the ground, which reacts as an external force in the structure’s response to seismic displacements. The wall with the artificial compression acquires dynamic, larger active cross-section and high axial and torsional stiffness, preventing all failures caused by inelastic deformation. By connecting the ends of all walls to the ground, we control the eigenfrequency of the structure and the ground during each seismic loading cycle, preventing inelastic displacements. At the same time, we ensure the strong bearing capacity of the foundation soil and the structure. By designing the walls correctly and placing them in proper locations, we prevent the torsional flexural buckling that occurs in asymmetrical floor plans, and metal and tall structures. Compression of the wall sections at the ends and their anchoring to the ground mitigates the transfer of deformations to the connection nodes, strengthens the wall section in terms of base shear force and shear stress of the sections, and increases the strength of the cross-sections to the tensile at the ends of the walls by introducing counteractive forces. The use of tendons within the ducts prevents longitudinal shear in the overlay concrete, while anchoring the walls to the foundation not only dissipates inertial forces to the ground but also prevents rotation of the walls, thus maintaining the structural integrity of the beams. The prestressing at the bilateral ends of the walls restores the structure to its original position even inelastic displacements by closing the opening of the developing cracks.
Article The Ultimate Anti-Seismic Design Method
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Miguel Angel Morales added a reply
July 9
There are two ways to achieve it. To start, we can make buildings more ductile, that is, they can withstand stronger deformations without failing; On the other hand, we can design more rigid structures, which implies that the buildings resist greater accelerations.
These systems consist of elements for energy dissipation or assimilation. The first type of system seeks to increase the capacity to "lose" energy, such as the "Saint Andrew's Cross" trusses, and others work as seismic dampers or isolators.
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Khawaja Muhammad Iftikhar added a reply
July 25
Abbas Kashani
Miguel Angel Morales
To make buildings resistant to earthquakes, it is essential to incorporate various engineering principles and design practices. Here are the key steps and considerations in detail:
1. Site Selection and Soil Analysis
  • Site Selection: Choose a site with stable ground, avoiding areas prone to liquefaction, landslides, or fault lines.
  • Geotechnical Analysis: Conduct thorough soil investigations to understand the soil properties and behavior under seismic loads. This includes soil borings, lab tests, and evaluating soil-structure interaction.
2. Building Design
  • Seismic Codes and Standards: Adhere to local and international building codes (e.g., IBC, Eurocode, IS Codes) that specify seismic design requirements.
  • Structural Configuration: Opt for simple, regular, and symmetric building shapes to ensure even distribution of seismic forces.
  • Redundancy and Robustness: Design for multiple load paths so that if one path fails, others can carry the load.
  • Foundation Design: Use deep foundations like piles or caissons in soft soils to reach stable strata. Consider mat foundations for better distribution of seismic forces.
3. Structural Elements
  • Base Isolation: Install base isolators to decouple the building from ground motion, reducing seismic forces transmitted to the structure.
  • Energy Dissipation Devices: Use dampers (viscous, friction, or tuned mass dampers) to absorb and dissipate seismic energy.
  • Flexible Joints: Incorporate expansion joints to allow sections of the building to move independently, reducing stress concentrations.
  • Shear Walls and Bracing: Use reinforced concrete shear walls or steel bracing systems to resist lateral forces.
  • Moment-Resisting Frames: Design frames that can withstand bending moments and shear forces during an earthquake.
4. Materials and Construction Quality
  • High-Quality Materials: Use materials with appropriate strength, ductility, and durability. Reinforced concrete, structural steel, and composite materials are commonly used.
  • Reinforcement Detailing: Ensure proper detailing of reinforcement bars in concrete to prevent brittle failure and enhance ductility.
  • Construction Practices: Follow best practices and quality control during construction to avoid defects and ensure the building performs as designed.
5. Retrofitting Existing Buildings
  • Seismic Assessment: Evaluate the seismic vulnerability of existing buildings using detailed analysis and field surveys.
  • Strengthening Techniques: Employ techniques such as adding shear walls, bracing, jacketing columns, and using fiber-reinforced polymers to enhance the seismic resistance of existing structures.
6. Innovation and Technology
  • Advanced Simulation Tools: Use computer modeling and simulation tools to predict building behavior under seismic loads and optimize designs.
  • Smart Materials: Incorporate materials with adaptive properties, such as shape memory alloys, which can absorb and dissipate energy efficiently.
7. Community and Lifeline Considerations
  • Building Codes Enforcement: Ensure strict enforcement of building codes and regulations.
  • Public Awareness: Educate the public and stakeholders about the importance of seismic-resistant design and construction.
  • Lifeline Infrastructure: Design critical infrastructure (e.g., hospitals, emergency response centers) to higher seismic standards to ensure functionality after an earthquake.
By integrating these principles and practices, engineers can significantly enhance the earthquake resistance of buildings, thereby reducing the risk of damage and loss of life during seismic events.
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Sebastian Schmitt added a reply
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Khawaja Muhammad Iftikhar, do you really think that a random, AI-generated answer is helpful for Abbas?
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Para hacer que los edificios sean resistentes a los terremotos, se deben seguir varias estrategias y técnicas de ingeniería. Aquí te dejo algunos puntos clave:
1. Diseño estructural adecuado: Es fundamental que el diseño del edificio sea realizado por ingenieros especializados en sismología. Esto incluye el uso de materiales y técnicas que permitan al edificio absorber y disipar la energía sísmica4.
2. Uso de materiales de calidad: Los materiales deben ser capaces de soportar las fuerzas sísmicas. El concreto reforzado con acero es comúnmente utilizado debido a su resistencia y flexibilidad5.
3. Cimientos profundos y bien conectados: Los cimientos deben ser lo suficientemente profundos y estar bien conectados para distribuir las fuerzas sísmicas de manera uniforme5.
4. Amortiguadores sísmicos: Estos dispositivos se instalan en los edificios para absorber y disipar la energía del terremoto, reduciendo así el movimiento del edificio2.
5. Diseño flexible: Los edificios deben ser capaces de moverse con el terremoto sin colapsar. Esto se logra mediante el uso de juntas de expansión y otros elementos que permiten cierta flexibilidad5.
6. Mantenimiento y revisión constante: Es importante realizar inspecciones y mantenimientos periódicos para asegurar que el edificio se mantenga en buenas condiciones y pueda resistir futuros terremotos4.
Implementar estas técnicas puede ayudar a reducir significativamente los daños y proteger vidas en caso de un terremoto.
Fuentes
1. Cómo hacer edificios que resistan terremotos | Ciencia | EL PAÍS
2. ¿Cómo construir edificios a prueba de terremotos? - DW
3. Así funcionan los edificios anti terremotos (edificios ...
4. Investigadores utilizan un edificio de concreto de 10 pisos para un experimento sísmico
5. ¿Cómo lo hacen? - Edificios antisísmicos (resistentes a terremotos)
6. Guía para construcciones seguras ante terremotos en ingeniería civil
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Who is controlling it? Are there any reviews?
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Thank you Steven. I am still puzzled by the origin of those discrete "professional meteorologists and climatologists" who created that site.
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HUMOROUS MORPHOLOGY
In Lewis Carroll’s Alice’s Adventures in Wonderland, the Gryphon used the word “uglification,” and Alice asked the Gryphon what the word meant. The Gryphon was amazed that Alice didn’t know this word. He asked Alice if she knew the meaning of “beautification,” and Alice responded that she did, but she still didn’t think that “uglification” was a real word with a real meaning. Indignantly, The Gryphon said that a word means whatever you want it to mean, and then he went on to give other examples. He said that what is taught in the schools is “reeling,” “writhing,” “uglification,” and “derision.”
Teachers should be called “tortoise” because “they taught us.” Lessons are called “lessons” because they lessen every day. In Wonderland, “Latin and Greek” are called “Laughing and Grief,” and “drawing, sketching and pointing in oils” becomes “drawling, stretching, and fainting in coils.”
The Watergate Hotel is where the break-in of the National Democratic headquarters occurred. Today’s dictionaries give more room to the metonymous meaning of Watergate than to the literal meaning of “a gate controlling the flow of water.” “Gate” has now become a suffix meaning “scandal” as in Irangate, Contragate, Iraqgate, Pearlygate, Rubbergate, Murphygate, Gennifergate, Nannygate, Monicagate, ad infinitum.
On National Public Radio’s “Cartalk,” Click and Clack are playing with Morphology in their list of credits: Copyeditor: Adeline Moore, Accounts Payable: Ineeda Czech, Pollution Control: Maury Missions, Purchasing: Lois Bidder, Statistician: Marge Innovera, Russian Chauffeur: Picov Andropov, Legal Firm: Dewey, Cheetham, and Howe.
Another kind of humorous morphology is when words are translated (actually transliterated) from one language to another. “Un petit d’un petit / S’étonne aux Halles” makes no sense in French, but it makes perfect humorous sense in English: “Humpty Dumpty / Sat on a wall.”
In summary, the inflectional and derivational morphology of English Nouns, Verbs, Adjectives, Adverbs, and Pronouns have an amazing capacity to morph into other Nouns, Verbs, Adjectives, Adverbs, and Pronouns.
Can you think of other humorous examples of English words morphing into other words?
Don and Alleen Nilsen “Humor Across the Academic Disciplines” PowerPoints:
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You can use stories and comics to demonstrate how morphemes can create ambiguity, irony, humor, or emphasis. You can also use stories and comics to explore how morphology varies across languages, dialects, registers, and genres. I found a few examples. Spell Analysis: Break down spell names into roots and affixes. For example, "Lumos" (light) to explore word formation.
Character Name Etymology: Study the morphology of names, such as "Lupin" from "lupus" (wolf), to gain insight into characters.
Spell Making: Have students create spells using Latin or Greek roots, practicing combining morphemes.
Potions and Ingredients: Use potion ingredients to discuss compound words and their components.
Magical Creature Classification: Classify creatures based on the morphemes that indicate their traits.
Wizarding Slang: Analyze slang (for example, "Muggle") to gain insight into word formation. I hope this helps.
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Variable x is a controllable, and variable y is a random varialbe. Also, y=b*x+u, and u is a random iterm. So x and y is correlated. But, if we calculate the covariance between x and y, according to the definition Cov(x,y)=E[(x-Ex)(y-Ey)], the value should be zero. Since Ex=x.
Is the conclusion correct?Thanks
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Well, then corr = correlation of 'x' and 'y' becomes
corr(x, y) = corr(x, b*x+u) = corr(x, x) + corr(x, u) = 0,
where Cov(x, u) = 0 follows the argueing for Cov(x, y) = 0.
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I have seen in some articles that they use DMF, Water, DMSO and PEG, so I wanted to know that What are some other solvents that can be mixed with them for controlling the edge of GQD
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There is no fixed relation between solvent and edge specific of GQDs , the edge frame synthesis regards to methodology and precursor you intimate with !
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Controlling a mobile robot, in various environment by using 5G communication technology, as a link between the controller to the mobile robot?
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Abdullah Thair Al-obaidi Firstly, simulating a robot controlled by 5G involves using advanced software programs that mimic the real-world behavior of the robot and its interaction with its environment through a 5G network. These simulations are crucial for testing and fine-tuning robot control algorithms before deploying them in the real world.
Here are some popular programs you can use for simulating such scenarios:
  1. ROS (Robot Operating System): ROS is a widely-used framework for simulating and controlling robots. It has excellent support for 5G communication simulations.
  2. Gazebo: Gazebo is a 3D simulator that's often used in combination with ROS. It allows you to create complex robot simulations, including the integration of 5G communication models.
  3. MATLAB/Simulink: MATLAB/Simulink is a powerful tool for modeling and simulating various systems, including robots. You can use it to simulate robot behavior and 5G communication.
  4. Unity3D: Unity3D is a game development engine that can be repurposed for robot simulations. It's user-friendly and can be used to simulate 5G-controlled robots in diverse environments.
  5. Webots: Webots is another excellent option for simulating robots and their interactions with 5G networks. It's user-friendly and suitable for beginners.
When simulating a robot controlled by 5G, you'll need to consider factors like latency, bandwidth, and reliability of the network. The goal is to ensure that the robot can receive commands and send back sensor data in real-time, as 5G promises ultra-low latency and high bandwidth.
This field is incredibly promising. It's like giving life to machines, enabling them to respond and assist us in various tasks remotely. Imagine a robot in a disaster-stricken area being controlled by a human operator miles away, thanks to the power of 5G. The possibilities are endless, from healthcare to exploration.
#5GRobotSimulation #RoboticsIn5G #FutureTech #SimulateWith5G #RobotControl #Innovation
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Global warming
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Yes,Defnitely global warming will hamper the agricultural growth of the country due to carbon foot print emission and over heat and dry lands
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Looking for genes that are involved in controlling stomatal density under drought stress.
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Stomatal density in plants, including Arabidopsis, is influenced by various genes that control stomata development, size, and spacing. Here are some essential genes associated with stomatal density:
  1. EPF1/EPFL9: These genes produce small peptides that act as "stop" signals for stomatal development. When these genes are mutated, stomatal density increases. For instance, in Arabidopsis, mutants lacking EPF1/EPFL9 show higher stomatal density.
  2. SPCH/MUTE/FAMA: These genes are like the "orchestra conductors" of stomatal development. They regulate the formation of stomata. Mutations in these genes lead to a decrease in stomatal density. For example, mutations in the SPCH gene in maize result in reduced stomatal density.
  3. TMM: This gene ensures that stomata are evenly spaced. When the TMM gene is mutated, stomata can cluster together. This has been observed in the common bean (Phaseolus vulgaris), where TMM mutants exhibit clustered stomata.
  4. ICE1: This gene is typically associated with the plant's response to cold stress, but it also plays a role in regulating stomatal density in response to temperature changes. This gene has been studied in tomato (Solanum lycopersicum) and shown to impact stomatal density.
  5. ERECTA: This gene encodes a protein that influences cell growth and differentiation. Mutations in this gene result in an increase in stomatal density. This has been observed in the model plant Arabidopsis, where ERECTA mutants exhibit higher stomatal density.
  6. BIG: This gene is involved in controlling cell division—mutations in BIG lead to higher stomatal density. In rice (Oryza sativa), mutations in the BIG gene result in increased stomatal density.
Out of the mentioned genes, ICE1 is the one most commonly associated with drought stress response. While ICE1 is well-known for its role in responding to cold stress, it also plays a significant part in helping plants withstand drought. ICE1 is like a switch that activates various genes involved in responding to drought.
When plants face drought conditions, ICE1 gets activated and acts as a messenger to turn on specific genes that help the plant deal with the lack of water. These genes control important processes such as closing stomata (pores on the plant surface), adjusting the plant's internal chemistry, and producing protective proteins.
Scientists have studied ICE1's role in drought response in plants like Arabidopsis, rice, wheat, and soybean. By manipulating ICE1, researchers have found that they can improve a plant's ability to tolerate drought.
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Weiner reckoned that there were three dimensions concluding six elements of his attribution theory. One of the three dimensions was controllability, i.e. whether the elements can be controlled or not. However, there are not absolutely controllable or uncontrollable situations in our daily life. Practically speaking, people sometimes can only partly control something.
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Weiner's attribution theory explains how people explain the reasons behind their behavior and others' behavior. There are two things that influence these explanations: 1) whether the cause is seen as being within a person's control or not, and 2) whether the cause is seen as being consistent or changing over time. Weiner's theory doesn't have a third element that's between controllable and uncontrollable, but it's worth noting that the controllability dimension can be divided into personal control (how much control the person feels they have) and external control (how much the person thinks the behavior is influenced by factors outside of their control).
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Hi everyone,
I have a SLM and It seems to be dead. When I open the controlling software and try to change the phase of the SLM, there is no response back to our software. I tried to restart it few times and nothing changed. Does anyone know how to test the SLM to be sure that it is really dead or not?
Best,
Lien Ung
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I am working as a Packing line executive. And we are packing shade colors(Red and Yellow). As we are packing both colors in a single line. We are using mass flow meter based filing machines(The machines without hopper, the paint from the pigging line will directly comes out from the nozzle and fill in containers)
Thus we are facing pressure fluctuations a lot....
And while pigging, there are so many over fillings and splashes
Can anyone please tell me some controlling methods to these problems?
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Thank you
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What are the issues that determine the NS3 Simulation time? I mean can we reduce it? can we increase it? who is controlling that? I have read many research papers, that set the Simulation time to 1800 seconds!
My respect.
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Also check please the following useful RG link:
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How to calculate the gain matrix of Luenberger /state observer?and also what is the role of eigen values during the mathematical modeling?
The current system have 2 input and 2 controllable states. The system is observable.
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Hi Habib,
if your system has a single output, I believe you can use Ackermann's formula (acker in Matlab, use the dual property for observers). In this formula you have to provide a polynomial whose roots are the eigenvalues you want. As for the choice of the eigenvalues the basic rules are: 1) the should be faster (2 to 4x) than the closed-loop intended, that is faster than the eigenvalues resulting from pole-placement, 2) but the faster they are the wider will be the passing band of the system and if you have noise, that could be an issue.
Regards.
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Hello Everyone. I have recently been trying to tackle the issue of a tilt rotor aircraft control and developing a set of PID controllers for that. I have attempted to use this simulink model but it didn't work for me.
I am specifically having a problem in controlling the transition of the aircraft a it stands. Do you know of any matlab simulink models that I can use as a reference for control architecture?
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Soot pollution has been a peculiar hazard of Niger Delta in Nigeria.
Does it mean that there is no advanced and innovative solution to soot pollution and its control?
Researchers of the globe, kindly recommend the novelty on controlling soot occurrences in an urbanized society such as Nigeria.
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Soot pollution may be a too general term. If you are referring to soot particles from traffic, household and industry emission, you may also look for publications on urban PM10 and PM2.5. The commonly accepted method to control this pollution is the regulation of the emissions at the source (cleaner cars, filtration of industrial emissions, regulation of household emissions (wood stoves etc.)).
Some countries invest in ambient air filtration (e.g. India), but IMHO this is a waste of energy.
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Hi!
I'm trying to synthesize 2.5 dinitroterephthalic acid in the following way:
Gradually add 8.28 grams of terephthalic acid to approximately 25 ml of h2so4 by magnetic stirring, then slowly shrink the nitro mixture (10 ml of h2so4 + 30ml of controlled temperature of hno3 + at 0 ° C) into the dough. and control the temperature <5 ° C. At the end of the dripping process, start the reflux mixture at 130 ° C and continue using the magnetic stirrer for about 12 hours. The reaction mixture is then added to the water / ice mixture. Filter the solution and neutralize to pH = 7, then extract the solution with ethyl acetate (theoretically, the 2,5 -dinitroterephthalic acid product will go into the ethyl acetate section and take it to evaporate to evaporate ethyl acetate. 2,5- dinitroterephthalic acid products will be obtained). However, during vacuum evaporation, I did not receive any crystals or just 2-nitroterephtalic acids.
I have been doing it for over a month with no results. Hope everyone give me some advice?
Thank you very much!
 
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Lịch sử
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Cộng đồng
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Dear Hân
First of all, you shoul increase the temperature gradually; further, you should conduct recrystalization process on the final product (acetone is highly recommended). Furthermore, it is better to carry out the experiments at 100 C.
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Dear all,
I am running several bivariate linear regressions to measure the impact of biases on controlling processes. These are all significant. I would like to measure which cognitive bias has the greatest impact on controlling processes. Can I compare the beta weights of different bivariate regression models to find the bias with the biggest impact? My dependent variable always remains the same.
I have searched for hours for information but unfortunately found conflicting information.
Thanks in advance!
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Alexander -
The problem is that predictors actually influence one another, not just through collinearity, but because of other considerations such as suppressor variables, etc., and when you look at a bivariate regression, the predictor is missing the influence of the other predictors. There will, however, often be an intercept term, which will vary by predictor, and be of varying importance. If y will be zero when x is zero, you will have a ratio estimator, where only b for the one predictor determines predicted-y. Otherwise the intercept will be whatever is needed so that you will have the estimated residuals sum to zero for your sample (so you have model-unbiasedness). But this is just an estimate from your sample. If you use more than one predictor, the influences among them change according to which predictors are used together, and the intercept changes. The best set of predictors used in the best way will determine the model for predicted-yi so that it approaches a perfect size measure, and heteroscedasticity will be expected. See
So looking to see how one variable does at a time is not only subject to the varying importance of each intercept, but also not very practical when it comes to that predictors part in the ideal regression, if that ideal regression is multiple regression. If one predictor alone does better than any other model, then that would mean it does perform better than the others but a direct comparison would be possible only if these were all ratio estimators, i.e., with no intercept term, so the intercept is set to zero in each case. (Cochran, Sampling Techniques, 1st ed, 1953, pages 205-206 suggests that for surveys, the best size measure, x, for y in such a case for a sample survey might be the same data item in a previous, recent census.)
There may be a temptation to use every variable you can find in a regression, and although that might help you tailor the best fit model to your sample, such model would likely be overfit to your sample at the expense of general applicability. However, looking at one predictor at a time may not get you very far either. It might be useful to graph such relations to see if there are curvilinear indications. (But note that a quadratic linear regression, for example, is still a linear regression, though you might want a nonlinear form.)
So when you ask if you can compare "...beta weights of different regression models...," the short answer is no, not directly, though you might obtain a general idea of their usefulness.
Cheers - Jim
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to electrify rural areas cost effective power generation is important. from those alternatives MHP generation using SEIG will fulfil the community power demand in lower cost. but SEIG hve the problem of voltage regulation during load variation. to regulate terminal voltage IG there are different way of classical controling method but how to control the voltage using artificial intelligence to andvance the controling system to protect power electronics equipments that are sensetive to voltage varation.
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Please note that you need a control system.
The output have a reference voltage that tries to keep no matter what the load is.
This is done using feedback control system.
The feedback control system can be
modeled using recurrent neural network.
For the feedback control system
please read my paper
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Can you please provide any documents for a brief comparison between film and droplet condensation regarding the heat transfer and the controlling equations?
I just need to support my claim that replacing film condensation by droplet condensation improve the heat transfer; as droplet condensation on a flat plate eliminate/reduce the thermal resistance formed by the film condensation.
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Could you please send me your research?
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Can a real picture of the road maintenance system be obtained in this way of monitoring and control? What other method would you recommend for monitoring and controlling road maintenance?
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I've been waiting for years for the Mathworks to provide a toolbox/functions to control flatbed scanners (Epson, HP...) through their Twain interface. Mainly for use with dedicated Image Analysis based applications I have developed.
The first questions/requests were raised almost ten years ago but still ... nothing available.
So I was wondering if anybody came across this issue for Epson scanners and whether they found a way to interface Epson's Twain libraries with MatLab (using a wrapper or any other trick) ?
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It is think it is a bit issue of commercial interest. However., a little bit software engineering project may be required by Epson, i.e., to invest a bit over more research. Math work is academic but commercial platform, so I do not think, they will do any such thing for free. A good alternative is to produce your own toolbox via some collaboration with some other researchers of common interest.
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Dear Sir,
Requested to share GITHUB page to understand the algorithm.
Thanks
Anbu
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It is a good idea.
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Software Defined Wireless Network (SDWN) now days allow central controlling of wireless network, can this technique replaces the working of other networks (e.g. AdHoc, Mesh, ... etc) in only single principle called SDWN?
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welcome!
The college Anatol Badach brought a figure demonstrating the definition of the software defined networks.
Software defined network is a technology of implementing the network.
It is so that the hardware physical layer devices are substituted by programmable devices such as field programmable gate arrays and digital signal processing in addition to special processors as well as general purpose processor.
The technology started with the socalled software defined radio SDR and then extended to SDWN.
This technology adopts very well to the rapid advancements in the communication networks. While the satdards can be changed and modified, the signal processing platform remains the same.
It is a change in the building methodology of the communication devices and Networks.
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Hi everyone!
I would like to ask which control design method is more effective for controlling the steer-by-wire system? I am planning to use the MATLAB/Simulink.
Thank you in advance for your answers.
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Hello!
I have a sample size of 23 people which consists of 2 independent groups (control vs. experimental). I have data for both of the groups at two time points (pre-intervention and post-intervention).
I wanted to perform an ANCOVA to analyse the results of two group pre-test and post-test study design (comparing the post-test results between the two groups while controlling for the pre-test results). However, my dataset does not meet the assumption of homogeneity of regression slopes which will make the ANCOVA statistic value invalid. I read about the Johnson-Neyman procedure as an alternative to ANCOVA when this assumption is violated but it is not possible to do it on SPSS.
Are there any other valid tests and ways to analyse two group pre-test and post-test design in that case?
Thank you!
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Hello Ina,
As an observation, 23 cases, split into two batches, isn't a lot for yielding stable estimates of regression lines in the first place.
You can execute the steps for a Johnson-Neyman analysis in spss (or pretty much any statistical software package). It's not, however, a direct menu option...you'll have to use syntax.
Here's a link that outlines the process: https://www.glmj.org/archives/articles/Ji_v42n1.pdf
If you'd rather try your hand using the freely available R system, here's a link that walks you through the steps: https://kenstoyama.wordpress.com/2018/01/21/the-johnson-neyman-tecnique-and-an-r-script-to-apply-it/
Good luck with your work.
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Hi everyone,
I’d like to know if there is a way to compare dependent partial correlation coefficients.
I used partial correlations to test, in a single sample, whether three personality traits (X,Z, W) were associated with a series of variables (let’s just call them Y), controlling for 4 control variables + the other personality traits. So, when I tested the correlation between X and Y, I controlled for the 4 control variables + Y and Z. All measures are continuous.
I’d like to test whether the rXYis significantly different from rZY or rWY. I found this equation to compare dependent correlation coefficients:
tdifference =(rxy-rzy ) √(((n-3)(1+rxz))/(2(1-rxy2-rxz2-r_zy2+2rxy rxz rzy)))
However, I am not sure I can use it with partial correlations coefficients. And if I can use it with partial correlations, what should I use as the correlation between X and Z (rxz)? The zero-order correlation coefficient? Or the partial correlation one (controlling for the 4 control variables and the third personality trait)?
Thank you in advance for your help!!
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Hi
How can i correct this error?? I think it's about matrix dimensions for port e.
Error in default port dimensions function of S-function 'FeedbackLinearization/Controller'. This function does not fully set the dimensions of output port 2
I'm running a simulation based on feedback linearization control method that comes from a paper attached below.
the model is also attached.
Anyone help me, helps a poor student. (if it makes sense lol)
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Hi,
file name "sfun_ abcaaaaa.c" is not available in the folder mentioned.
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There are 4 continuous DV, some categorical variables like gender ( boys and girls), educational status of father (3 levels), educational status of mother (three levels), income ( three levels). I want to know effect of first categorical variable after controlling rest 2 or 3., effect of second variable by controlling rest.
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In my opinion you can not, for example, use Gender as a covariate. This would imply there is something wrong with Gender and you have to correct for it.
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Hello everyone,
I am currently working on the state of the art of the digital twin concept, and after seeing the categorization made by Kritzinger, W. et al. (2018) [ ] and reading several articles, some doubts have come to my mind:
  • According to the definition, we can speak of a "true" digital twin as long as the data flows between an existing physical object and a digital object are fully integrated and automated in both directions. However, I have found articles where the developed digital twins, instead of acting or controlling directly their respective physical twin, they send warnings or recommendations to a person so that s/he performs the corresponding actions. Hence, to my understanding, there is no an automated flow of information from the digital twin back to the physical object. In this cases, should we consider the developed digital twins as real or as digital shadows instead?
  • Regarding the composition of digital twins, is it possible a digital twin to be internally composed of several digital twins? To exemplify this, we could think of a factory that builds a certain product, which is composed of several components that already contain their own digital twin implemented from the supplier. Therefore, we could consider that the digital twin of the final product is, among other things, the composition of all the digital twins of its components. I ask this because I have not seen this property widely developed throughout the literature. Instead, it is common to see that the digital twin is composed of physical and/or data-driven computational models and data that describe in real time the behavior of its physical counterpart.
  • Does it have sense to speak about the lifecycle stage in which a digital twin is framed (Design - Development/Manufacturing - Operation/Service - Dismissal/Retire) if it does not represent an object/product? As an example, we could think about the digital twin of an industrial process, of a human being, of disaster management in an Smart City, etc. In my opinion, it does not make sense...
Thank you so much in advance
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Very relevant questions... I have been involved with Digital Twin since several years and the more I learn about it, the more I realize the Digital Twin is a concept and a process rather than an object. This also explains why different people give different interpretations to it, very often also biased by their own capabilities (or limitations) to deal with it. I believe that there are two main governing principles. (1) One is that the Digital Twin has no meaning without targeting a real asset, the Physical Twin, but that physical twin does not necessarily already have to exist when developing the Digital Twin. The Digital Twin can emerge in an embryonic stage at concept design level and get gradually refined and enriched, following even the lifecycle of the physical asset development, until the moment it represents as as accurate as possible the real, individual produced asset with which it can exchange data. This exchange can be to receive data to feedback the actual operational conditions to the digital models, but it can also be a feedforward to use the digital twin in a context of the physical asset, e.g. for model based diagnosis, residual life, virtual sensing, performance prediction, decision support... So the Digital Twin is dynamic, it evolves and hence also has to be traced in terms of versioning, to instantiate together with an individual product and to maintain e.g. consistency with the changing asset when repaired or upgraded. This is also where the Digital Thread comes into play as crucial element. And in a brownfield situation, when no design model is available, the data as such when abundant and representative enough can also constitute some form of Digital Twin, although the data basically remain a condensed and abstracted version of the physical world, only digitized. But gain, this is not an absolute thing, just imagine adding another sensor and one gets more data for the same Digital Twin, or project the data on a CAD model, or provide semantic annotation and add metadata... So dynamic as well.
(2) The second key principle is that the Digital Twin only gets its real meaning by/from the purpose where it is realized for. For the same asset, the Digital Twin will have a different appearance and even composition whether it is developed to design for optimal performance (and which performances are relevant?) against requirements or whether it is used to enable proper manufacturing or for following the lifecycle of the asset, track or predict failure or even to predict the way it can be decommissioned (or recycled). The perhaps semantic element in here is that in my view these are all appearances of the Digital Twin (singular) but not different Digital Twins (plural). This means all these appearances can be traced back to the same reference model or metamodel.
To relate this then to the question how to look at the "systems of systems" problem and whether the higher level digital twin absorbs the lower level... yes and no... the lower level system when designed, produced, used as such has its digital twin. And the same for the higher level. And indeed the lower level digital twin may become part of the higher level as a component. But then the purpose is different and that purpose determines what we consider at a certain point as the Digital Twin... Although this becomes maybe too philosophical. Like the Ship of Theseus...
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According to the FEMA356 and ASCE41-17 (3.3.3.2), we have to push the structure 150 percent greater than the target displacement!
In this case, controlling the performance level of plastic hinge seems uneconomical. Why do the CODES refer to this paragraph at all?
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Dear Mehran,
This criterion is to provide enough safety margin between the target performance point and the incipient collapse level of the whole structure. But why? here I try to mention primary explanations for such a regulation briefly:
  1. As you certainly know, the procedure for calculating the target displacement of the structures is somehow inaccurate. It only gives an estimate of the experienced displacement by the system during an actual earthquake. You can quickly come to this conclusion from looking at the assumptions behind calculating the effective period (Te), modification factors (c0, c1, and c2), and see how simple and applicably-limited they are.
  2. A nonlinear static analysis, what ASCE 41 calls NSP, is supposed to simulate the performance of structures during real earthquakes. However, in an actual earthquake, the structure may experience multiple cycles of inelastic deformation, which cause deterioration and degradation both in element and system scales that subsequently diminish the system's capacity. Therefore, the cumulative deformation (inelastic) experienced by a system, which is the primary source of damage, can be significantly more than its maximum one.
  3. During a severe ground excitation, structures may experience dynamic instability, which is the consequence of softening the whole system. At this point, the structure becomes so soft that it can not withstand its own weight and start to deform laterally due to P-Delta forces without any external forces. Nonlinear static algorithms, both force-control, and displacement-control cannot capture such a phenomenon when evaluating the whole structure. Even if they could, the unpredictability and uncertainty in the parameters affecting the softening branch of the system performance (dynamic properties of the systems, soil property, hinge property, e.t.c.) still are too high that the code simply prefers to push this point farther to the systems performance level.
  4. And more importantly, to encourage engineers to do nonlinear dynamic analysis (NDP).
These are a few reasons for increasing the target displacement when evaluation the seismic response of structures using NSP.
BR,
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Which modes are controlling the flutter? What the flutter mechanism is and how can the flutter speed be increased? Any hint and examples to the questions above? Thanks
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You may find dominent modes (usually the first mode) using centre manifold theories (nonlinear theories)
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Hi, I have a simple question.
I am hoping to perform a power analysis/sample size estimation for an RCT. We will be controlling for baseline symptoms, and using post-treatment or change scores as our outcome variable, Ie we will use an "ANCOVA" designs showed to increase power: https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-019-3671-2
Would any body be able to point me towards the best tool for sample size estimation for such a model?
thanks!
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In response to --> so why adjusting?
In a true experiment with random allocation to groups (i.e., an RCT) that has both baseline and follow-up measures on the outcome variable, the principle reason for including the baseline measure as a covariate is to reduce the error term. Variability in the follow-up measure (i.e., the DV) that is accounted for by the linear relationship between baseline and follow-up scores is partialled out of the error term. The cost is 1 df. But that cost is usually more than made up for by the reduction in SSerror.
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I am using PI controller in feedback control of a SEPIC DC-DC converter to get fixed output voltage in a SIMULINK model. It's not working.
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Do you have transfer function of SEPIC converter?
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Hello
I'm currently trying to create a chi-map using topotoolbox for matlab. In the available literature most of the calculations use a single mn ratio (0.45-0.5) for the entire area, and some others do a sensitivity analysis in order to get the best mn ratio per watershed. However, I don't know whether the calculations would improve using the best mn ratio per stream or it really doesn't matter because the sensitivity analysis is good enough in a calculation per watershed.
By the way, I'm working in an landscape highly controlled by faults activity.
Any comments will be appreciated.
Best Regards
Lester
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One option would be to use the ChiProfiler tool that integrates with TopoToolbox that Sean Gallen (Colorado State University) created. It is available from his Zenodo site for download at https://zenodo.org/record/321868#.YCV91WhKg2w or on Github at https://github.com/sfgallen/ChiProfiler.
Article to reference for use of ChiProfiler is:
Gallen, S.F., Wegmann, K.W.: River profile response to normal fault growth and linkage: An example from the Hellenic forearc of south-central Crete, Greece, Earth Surf. Dynam., 2017, http://www.earth-surf-dynam.net/5/161/2017/.
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When using the mean value of the 3 LVDT's it often happens that the mean value stays constant but the individual LVDT's can behave completely different. From a local point of few it will not be a constant deflection test. Why not performing a short test of e.g. 500 cycles to determine which LVDT shows the maximum value. Afterwards the test will be carried out using that LVDT as the controlling device for a deflection controlled UTC test. Of course, it can happen that during the test another LVDT value may become bigger than the control LVDT value. That's a pity and that test is in principle lost. But for me although you look at local effects it might be better. I'm curious for response on this question.
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I apologize, I do not have information because the subject is far from my specialty
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Given the current level of infection and spatial distribution, after controlling government responsiveness to control, can the level and rate of infection serve as proxy for countries level of international integration or connectedness?
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Such an indicator could be burdened with a high level of error of correlation between the issue of the scale of development of the SARS-CoV-2 (Covid-19) coronavirus pandemic and the level of international tourist traffic, cross-border business trips and others. The inaccuracy of this type of indicator results from the fact that, apart from the issue of international tourism, there are many other factors determining the scale and pace of the development of successive waves of the SARS-CoV-2 (Covid-19) coronavirus pandemic in individual countries. For example, the level of general public awareness of the principles of compliance with anti-pandemic safety instruments (e.g. wearing protective masks, maintaining social distancing in public places and frequent washing and / or disinfecting hands with disinfectant fluids) and the sense of social solidarity between generations varies from country to country. In addition, there are also significant differences between countries with regard to the commencing or ongoing vaccination programs of citizens against the coronavirus SARS-CoV-2 (Covid-19). There are also significant differences between countries in terms of the imposed anti-pandemic security restrictions, lockdowns imposed on specific industries and sectors, and improvement of crisis management systems and pandemic risk management. Therefore, there are many additional determinants shaping the different level and scale of the development of the SARS-CoV-2 (Covid-19) coronavirus pandemic in individual countries.
Best regards, Have a nice day, Stay healthy!
Dariusz Prokopowicz
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There is a theory saying that emotions are controlled by the right side of the brain and logic is controlled by the other side. Is the brain really divided into two sides when it comes to controlling different aspects of human behaviour?
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Yes, scientifically its correct.
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I am trying to conduct a power analysis in g-power to determine a sample size for my honours thesis, but I don't know how to do so. I am planning on conducting a hierarchical, multiple logistic regression.
I am predicting men's identification as victims of female-perpetrated intimate partner violence based on their attitudes towards female dating violence, ambivalent sexist beliefs, precarious manhood beliefs, and the degree of battering they experienced. I am planning on controlling for the frequency and severity of the abuse by entering those predictors in step 1 of my hierarchical regression, before the entering the predictors previously listed. Based on my current study design, I believe I have six predictors (I'm assuming I include the predictors I'm controlling for?) and they are all continuous.
DV: Identification with intimate partner victimization (yes/no)
Predictors (Control) - enter step 1: severity of abuse, frequency of abuse
Predictors (IV) - enter step 2: attitudes towards female dating violence, ambivalent sexist beliefs, precarious manhood beliefs, degree of battering
I am not sure how to conduct a power analysis in g-power for a logistic regression, I know there is an option for it under z tests, but after that I'm lost in regards to what numbers to input into the various fields. In addition, I'm not sure if running this as a hierarchical regression has an effect on my power analysis.
If anyone has any information on how to conduct this analysis in g-power, I would greatly appreciate it, and if you need any other information from me, please let me know :)
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There is a logistic regression option under z-tests in my g-power version (v 3.1?), but I do not think that there is an option for the full model you describe. Power & Precision comes closer: it lets you chose two continuous predictors in a logistic regression. it is quite acceptable to not be able to compute power for your full model, and rely instead on the closest model you can run...and then throw in a few more participants for insurance/to be conservative.
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I am fabricating a solar car powered through both solar panels and a supplementing DC power source.The details of the components is as below:
Solar Panels (Q=2) : Pmax=100W ,Vmp=18.9V ,Imp=5.29A
Battery (Q=2,Series): 12V - 50 Ah:Model UB12500
DC charger : 12V-4Amp
Motor: 24 V,4.8 KW.
1. I want to connect the three power sources (2 Panels+DC) (Parallel Connection) through a combiner box and directly send it to charge controller to charge the battery pack.
Can this be done and if this process is correct please provide me some tips for this approach?
2. Another suggestion I got is to use a switch so that I can charge them separately ,can you also provide some insights into it?
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I would strongly recommend an MPPT solar controller to ensure the batteries are charged properly!
You can then simply connect all the the power sources in parallel, but use high current diodes on each positive leg to ensure no voltages travel the wrong way. Your 12V power supply will not charge the 12 V battery as it needs to be at least 14V.
Make sure the MPPT is set to the proper battery type - ie lead acid or lithium.
If you want a more sophisticated way to select which power supply takes priority, then use a voltage threshold monitor to turn on or off your power supplies. There is a Rhobmerg module SP201 that works really well, I use it to automatically change from solar to mains.
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I am trying to develop a controller model for Battery charger in Simulink which include both Constant Current and Constant Voltage Method.
I have two separate PI controller for CC & CV charging method. Problem I face is to identify how two controller interact ? i.e. during constant voltage charging if the controller only look at voltage setpoint even if current output is beyond the limits the voltage controller doesn't get affected by it.
How the controlling is done for CC/CV charging of Lithium Ion battery in general ? Will be helpful to get any information.
Thank You.
Sreeraj Arole
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Hi Sreeraj, for battery charging the transition between the two modes is very simple because the battery voltage is always increasing when you charge so let's say you set the CC at 0.5C and CV at 4.2V.
Then you charge controlling the current at 0.5C until the measurement of voltage reach 4.2V, then you start controlling the voltage a 4.2V and the current will naturally starts decreasing. I have practical experience with this so if you need more detail please go ahead and ask.
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I work on MPC controller for tiltrotor Airplane but I have some issues in C programming,I have previously programming a PID controller and I want to know if is there any relation between what I have doing and the MPC programming
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PID is single input single output whereas MPC you look at multiple inputs and plan multiple control outputs.
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Hello everyone, I am measuring KBr in a PIKE FTIR which has a temperature chamber, I am remotely controlling the relative humidity inside the chamber by keeping the Thermostat temperature at 57 degrees and I have an external heater which i keep at 65 degrees. I had some unusual activities in my spectra. I would like to know what could be the issue
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I don't really understand this question. Are you saturating the air with water at 57 degrees (F or C?) and then heating to 65 degrees? And why are you doing this? In doing FTIR one wants to keep water OUT of the sample and spectrometer as much as possible. Then there is the question of why are you looking at KBr which is a window material in the IR. Wet KBr will just be giving you water bands that vary as the KBr picks up water from the air.
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Is it possible to control the dq component of the three-phase grid-connected PV system using Proportional Resonant control?
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Yes, it is possible to control the dq component of the three-phase grid-connected PV system using Proportional Resonant control. Specifically, d component is used to regulate the active power and q axis component is used to regulate the reactive power component. However, as per the question, it is understood that reasher want to know about the solar pv power plant power flow study. As we know, the power generation is varying in naturr according to the irradiance condition. Therefore, through out the day, the power generation is not constant and contains more auxilarry component, by which the power quality of the system is badly affected. To circumvent the above problem, linear or nonlinear controolers are suggested. One of them is PR controller. For eliminating high order signals from the d axis component PR controller can be used and eliminate the harmonics. Similarly, for reactive power control, q axis component is controlled through PR controller and reagulate the highfreequency component.
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I want to extract Hop count, link utilization and random placement from Topology zoo data set, and I have no idea how to do that. additionally, i'm going to use that criteria for SDN controller placement problems in matlab.
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This discussion is still open?
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Dear colleague, Electric vehicles in today's world are leading with special controlling mechanism which are easily operated for every one. Even-though, they are vital and they do have better control mechanism still in our country Ethiopia there is shortage of electric vehicles. Therefore , what are the challenges in Electric vehicles to implement in Ethiopia for mass production?
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Hagos Abay As you know, one of the challenges is electricity supply. There are options for electric Bajaj and vehicles, but this would significantly increase demand on an already constrained and inconsistent electricity grid. The is one of the reasons for the government's effort to increase electricity supply. This presents a significant barrier mass adoption at this time, but hopefully will be alleviated as major hydroelectric dam projects add capacity.
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At present all the world is experiencing weather extremes due to the impact of the climate change. Who is responsible for those consequences of extreme weather in all over the world? finally who is ready to face all these effects by Govt./People? Why all the Govts are not focusing on immediate controlling strategies? Not identifying causative factors in the world? How long will take time to clear our world environment? Why all the Govts not strictly controlling in the ground level before effluents entering into the environment? Why effluents are not treating/estimating properly? How it becomes more dangerous to human life and environment in all over the world?
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Climate change is everyone's responsibility. Everyone at their own level must do what is necessary. International institutions, governments, civil societies, associations, peoples, ... etc. must unite and fight against climate change. The earth is threatened, and the human being is in danger of disappearing? All together to fight against climate change, whatever the country, religion, ... and differences ... The land belongs to us… but we also belong to it! Professor Emeritus Ahmed KETTAB
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So, my main question has to do with the following task. I have a system basically that describes the motion of a rigid body non convnsional UAV. Using a thruster in the z-axis and for cannards to deflect the outcoming flow. It can be described as a ducted fan UAV. SO, I have set a trimming point with all the derivatives equal to zero in Simulink and specify an altitude for hovering, basically this has to do with steady state conditions. My dynamics are closely connected with these of a 6-DOF system, and my output vector is of 12 states (Euler angles position velocities angular rates....)
Using that opereation point I am trying to conduct the linearization of the equations on Simulink once again. Whenever I am using as the output states anly angular velocities 'p,q,r' and euler angles 'phi, theta, psi' in order to design an attitude controller my results say that matrices a,b that refering to my system are described as controllable as well as observable.
On the other side of the coin though whenever I am just add three quantities more, like position in inertial frame 'x,y'z, or velocities u,v,w my rank of controllability reduces to 2 giving me at least 7 uncontrollable states each time. That means that the system is uncontrollable.
Also if i only linearize using quantities of the state vector of position x, y, z anf euler agnle psi in order to make a position controller, still the whole system is uncontrollable.
So in a few words. Whever I specify states that have to do with position and velocities system is uncontrollable.
Also whnever I am using the quantities from euler equation, like euler angles and angular rates system is controllable.
Why is that??
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Can you summarize the entire context with the governing equations and tell us the operating point and the dynamics that you want to linearize?
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i have a mathematical model of the controller placement problem and i want to write a program using C as a language of programming,
this program he can find the optimal number of controllers that must installed in a Software Defined Network (SDN) and i don't know how to model the of switcher and the set of controllers in this program.
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This paper may help you:
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Hi all,
I have a model with 8 control variables one predictor and one outcome. Adding all 8 of these variables to the model really complicates the model. Is there any reason, I couldn't create a partial correlation or covariance matrix controlling for all 8 variables and analyze that with SEM? Instead of including all 8 controls in the SEM itself, I could just control for them in the matrix that I input for analysis. That would allow a model that has one path instead of 9. Does this yield equivalent results?
Thanks! Loren
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If you want to perform a covariance matrix you can use network analysis based on partial correlations.
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Textural nature of soil is an important controlling factor of river bank erosion.
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The pullout of river banks is the result of a blending of subaerial, diffusive, and fluvial erosion processes integrated with mass failure mechanisms. Soil particle size and, in particular, the silt -clay content of the soil have been documented in many previous studies to influence fluvial erosion and mass failures. Hence the textural nature of the river bank influences the structure of the river bank.
Subaerial ‘weakening and weathering’ of the soil can happen in several ways, all of which are associated with different soil moisture state within the material and the physical state of this moisture which is described in more detail in the following references:
Thorne, C.R., 1990. Effects of vegetation on river bank erosion and stability. In: Thornes, J.B. (Ed.), Vegetation and Erosion. Wiley, Chichester, pp. 125 – 144.
Thorne, C.R., 1992. Bend scour and bank erosion on the meandering Red River, Louisiana. In: Carling, M.A., Petts, G.E. (Eds.), Lowland Floodplain Rivers: Geomorphological Perspectives. Wiley, Chichester, pp. 95 – 116.
Cheers
Ankur
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Hello,
In MIMIC models, can coefficient between covariate and indicator when controlling latent be estimated by direct paths from covariate to indicator? do you mind to take a look at my model attached? Thanks in advance,
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Ceren Börüban, Nice Topic.
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Hello,
Currently I am searching the literature for advantages and disadvantages of the IPOO framework, the Balanced Scorecard and the Puplic Sector Scorecard. My goal is to achieve a comparison on which I can make a decision for an implementation. Does anyone know of a paper in which such a comparison was made, or a where some of the pros and cons are discussed?
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I am doing an ecological study and I have found two variables that are related with a disease. However, since these two variables are closely related (one causes the other), controlling one for the other showed a cancelling of their correlation with the disease. Is it okay to simply put the bivariate correlation?
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I think it's ok
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I am working on vehicle suspension system and I am stuck at finding the controller gain using LMI toolbox. can anyone help me out?
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Hi, have anyone used the Veselý output feedback controller? Mohamed Fezari ?
I'm having some dificulties with the formulation.
Thanks
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I am trying to model nonlinear, cyclic behaviour of a cantilever beam, I wish to apply a cyclic load at the free end. And I want the midpoint of the beam to be displacement controlled (ie. reverse loading direction once the displacement at midspan reaches predetermined values).
How can I do this?
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Hi Barry,
At a minimum you will need to split your cantilevered beam into two elements at the mid-span. After that, the process is straight forward. Apply the load at the cantilever tip, and use the DisplacementControl integrator:
integrator DisplacementControl $node $dof $dy
$node must be the integer for the node as defined at the midspan. $dof must be 2 if you wish to control the vertical displacement in a 2D model space. $dy is your displacement increment. If you wish to model a cyclic load, you must put this inside a loop:
analysis Static;
foreach peak $peaks {
set steps 100
set dy [expr $peak/$nsteps[]
integrator DisplacementControl $node $dof $dy
analyze $steps;
}
analysis Static;
foreach peak $peaks {
set steps 100
set dy [expr $peak/$nsteps[]
integrator DisplacementControl $node $dof $dy
analyze $steps;
}
The code above takes a list of displacement peaks, and for each peak, it performs 100 static analysis steps until the peak displacement is reached. define a list of peaks accordingly based on what cyclic displacement you want to base your analysis on. For example, if you wish to go back and force between 2 in of vertical displacement, peaks should be:
set $peaks [list 2 -4 4 -4 4]
The first 100 steps will be to 2 inches in 0.02 inch increments, then to -2 inches in 0.04 inch increments (assuming your units are in inches, kip, ksi for example).
You could also define a displacement time series and perform a dynamic analysis, but this tends to be less stable than the simple displacement-controlled static analysis and it also depends on the time step (you will get dynamic effects for a fast loading and a close-to-static response for slow loading, whereas the static analysis does not include any dynamics in the system of equations).
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I have a Simulink model and I want to use the output block port Ex. queue length as a vector of observations for controlling the flow. Connecting the output port to a Bus Creator or Mux block is not supported.
Thanks in advance
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Try simout block.
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Hello fellow scholars,
I've recently been thinking of ways to control for gender in regression in a non-binary way (i.e. not male=0 female=1) to account for people who identify themselves in other ways. What would be the best approach to do this? I've been googling, but the thousands of results that appear were not helpful in anyway. Thank you in advance for the suggestions, and source material.
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First, I'd say change your terms. Male and female are terms related to biological SEX. The terms for GENDER (which is a social construct) are Masculine and Feminine. Also, don't confuse terms for SEXUALITY with gender (Queer for example is not a gender). Check out Gil Herdt's monumental Third Sex, Third Gender for a definitive approach to that third space (some societies have five genders, often with no sexuality marker). As Rafal says, what's the theory motivating your use of gender? Until you are explicit about that, and the distinction between your three currently conflated terms, you shouldn't be trying to model them.
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I'm currently doing research work on Automatic water dispenser, I proposed to design and implement the system that will control a solenoid valve, operated by ultrasonic sensor and display the water level as well. How can I have a program that will perform the two tasks together; controlling the valve and displaying the water level?
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Okay, thank you.
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IV(1) in my cross sectional observational study is a significant positive predictor for the DV in linear regression, and IV(2) is a significant negative predictor of the DV.
IV(1) has a positive pearson correlation with the DV, however when you do a partial correlation controlling for IV(2) the correlation between IV(1) and the DV becomes non-significant. (this relationship does not occur in the other direction, a.k.a correlation of IV(2) and DV, controlling for IV(1) remains the same and significant)
I'm confused as to why the correlation becomes non-significant when controlling for IV(2), but when both the variables are in predictors in the regression they remain significant independent of each other.
Why is this the case, and how would you suggest going about interpreting this?
Thanks!
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Hello Fizza Qureshi. Think about the distinction between partial and semi-partial (aka., part) correlations. What happens if you compute semi-partial correlations rather than partial correlations? My guess is the results will be consistent with what you're seeing in your regression results. HTH.
PS- To get semi-partial correlations with SPSS (which you listed as a topic), use the ZPP option on the STATISTICS sub-command of the REGRESSION command. ZPP is short for zero-order, partial & part correlations.
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What do you think about the outbreak of coronavirus? Will the outbreak stop in China soon? Will there be an effective vaccine soon? Does the international community succeed in controlling it? What are the negative effects
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What do you think about the outbreak of coronavirus? Will the outbreak stop in China soon? Will there be an effective vaccine soon? Does the international community succeed in controlling it? What are the negative effects of this disease on the international community? Please share your opinion.
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Outbreak of deadly coronavirus in China is very sad. All efforts are being made to to control the virus, and I do hope that situation will be soon under control.
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Hello all,
in order to bring my bachelor thesis up to the current state of the art, I am looking for studies that show the positive influence of Innovatons controlling/ performance measurement on the success of a companies. Can anyone help me?
Kind regards,
Samuel
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I can offer a study that investigated the relationship between technological innovation capabilities (TICs) and company performance. See attached article.
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Hello everybody,
I am currently writing my bachelor thesis in a start-up funding program at my university. In the course of this work I decided to measure performance either by using the Balanced Scorecard or the Input-Process-Output-Outcome model.
I wanted to get a few opinions on this. Do you think that the two programs are at all comparable? I chose the two frameworks because they are both very popular in the literature and more importantly because both frameworks can be implemented without the use of financial indicators.
Do any of you know of a paper in which the two frameworks are discussed, or even better, compared?Unfortunately I have not yet found a paper in which both were treated equally.
I would like to thank you for your support in advance and wish you all a good start into the week.
Kind regards,
Samuel
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Binary questions of the either-or variety do not often generate much knowledge. How about both-and? Why not synergize the Balanced Scorecard and the Input-Process-Output-Outcome model?
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Does the accuracy of system identification affect performance of controlling an object in control engineering?
For example, I did system identification and obtained matrix A, B, C, D using method A and the cross correlation with the actually measured data is 0.6.
And we did the same thing with method B and we have got the cross correction 0.8.
In this case, we can say that for system identification, method B is better than method A.
Usually in this case, can we get a better control performance result using the A, B, C, D matrix from method B compared with A?
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The accuracy of the model has a direct impact to the performance of the controller. However, you want to void over-fitting your model to your training data. Avoid choosing a high order model to exactly match your data.
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Hello everyone,
As part of my bachelor thesis, I am currently reading the literature on performance measurement, since I would like to implement such a system in our start-up initiative. Can anyone recommend me a book/paper which shows the introduction of an Input-Process-Output-Outcome system or the Balance Scorecard at a real example in practice?
That would help me so much !! Thank you !
Kind regards,
Samuel
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Hello Samuel,
I came across following case study in International Journal of Productivity and Performance Management. (also available on researchgate)
Ian Cobbold, Gavin Lawrie and Khalil Issa (2004), ‘Designing a strategic management system using the third-generation balanced scorecard - A case study’, International Journal of Productivity and Performance Management Vol. 53 No. 7, 2004 pp 624-633
This may be useful.
Regards.
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Hi guys , I am using low resolution camera 120x160 FLIR camera ( active thermography using external heat source or lock in ) , I also want to use matlab to directly conect to the camera , but i confuse on how the control would be. where need to control the light and simultaneously take the real time video and using matlab to do image processing . can use booth matlab and rasbery phi for this purpose ? any body could share their experience. thank you so much. or i do it wrongly ?
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I think we just used the image acquisition toolbox and it worked directly without any problems. For the fair lepton there exists also a breakout board, so the usage with Arduino oder raspberry pi is a little bit more easier.
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Hello there,
I am currently searching the literature for methods to analyze the project progress of a startup funding program organized by the university. In doing so, I discovered that all except the milestone analysis and the milestone trend analysis actually work with the cost factor. For example, the "Earned Value Method" was frequently mentioned in the literature and my professor also said that it was possible to use the this methode without using costs.
My problem is that I can't find any evidence in the literature that this method could be implemented without costs. Do you have any suggestions? Or do you still know methods that I could use to measure project progress (without the cost factor of course)?
Kind Regards,
Samuel
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In Holger Timinger's book, you find evidence p. 106, that EVA can also be calculated with other resource data than costs, e.g. working hours. You will then have to work consistently with this measure, thus planned working hours (PV), actual working hours (AC), and working hours that reflect the actual work completed (EV).
In general, it depends on how your project is planned and implemented. If you work in a traditional, plan-based environment, for project progress, you could either look at time separately (as you identified e.g. milestone trend analysis), costs or expenditure (could also be work hours) or what amount of the desired work is already done, so what scope is already completed. For all three dimensions, it is assumed you base your evaluation of progress on a comparison of actual to plan. Looking at scope alone, for all work packages you could choose a way to evaluate progress e.g. percentage complete based on including the remaining effort estimate, or in case of countable objects, objects finished towards objects in total. The combination of all three dimensions is united in the Earned Value Analysis. The applicability of EVA depends on the quality of your time-phased plan and the accuracy and availability of actual data. I regard ISO 21508:2018 a valuable source on requirements for implementing Earned Value Management. In case you work in more volatile, agile project environment, there are e.g. in Scrum burn-down or burn-up charts used to visualize progress.
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hi there, currently i am doing my research. my supervisor has suggested me to include industry effect as a controlling variable. my question is how can i include this specific variable in the regression model? is there any calculation for this particular variable. i have taken non financial sector of Pakistan which comprises of 14 sector comprises of 369 firms. please suggest any particular method.
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thanks david
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I am trying to apply battery storage in PV system, so the battery should be able to switch between charging and discharging to support the PV fluctuation.
I heard it can be controlled using BDI(bidirectional Inverter), but I do not understand how to set the control from using 3 phase Inverter block in simulink.
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Any one find solution for this problem?
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1. My question is in matlab how can generate pulses in secondary side hv bridge in LLC Resonant converter ?
2. We got without synchronization means Primary side full bridge switches and secondary side rectifier diodes working well.but primary side full controlled switches and secondy side also controlled switches how can generate pulses in same switching frequency .
3. how can controlled both directions in both LLC resonant converter using synchronization rectifier ?
Please help me sir any body or suggest me
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Dear Kuruva Veeranna,
For the secondary and primary sides can be obtained by simple pulse generators in matlab simulink for open loop. While for close loop, we need to consider the controlled signal (voltage/ current or both). Then sensing the frequency from the controlled signal and produce controlled pulses for both primary and secondary based on your controller approach through PWM.
pls check the following articles for more information:
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Hi everyone, I need to introduce a delay in the control system response. Currently I have this behaviour:
timestep 1
Output control function =1 --> the pump switch on.
Instead of this behaviour I want a delay, meaning:
timestep 1
Output control function =1 --> the pump is still switched off.
timestep 2
the pump switch on even if at this timestep the output control function is =0, due to the delay in the response.
I am using type 2 as controller and I have tried type 93 for the delay but I don't know how to use it. Could someone help me?
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El tema de control interno de una empresa o entidad pública sí es de mi competencia...
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A lot of processes are evolved in Electrospinning, such as evaporation of the solvent. Currently, parameters are chosen emprically. So one of the question is how to make electrospinning more controllable. Does anybody tried electrospinning at a cleanroom environment? Does it make a difference?
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Spinning in a cleanroom makes "no" difference on the electrospinning side. It keeps your product clean afterwards, since most electrospun products have a tendency to attract dust.
Electrospinning does require a tight control on all parameters, and the environmental parameters are often a crucial factor. But they have to be stable and controlled, clean is a nice to have.
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Xiaomi Fimi A3 drone has 6 pieces of DIY ports but there is not any info about them in the user manual. We want to control the drone by a microcontroller or microcomputer and we don't know that we can do with these ports. If it is possible, is there a tutorial document or user manual?
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hi.,
The Xiaomi FIMI A3 will utilize GPS technology to help make it a stable drone. It will also give it intelligent flight mode capabilities. The FIMI will have return-to-home, orbit, fixed-wing, follow-me and dronie flight modes. ... This will allow you to add servos or lights to the drone.
for more info kindly refer this link:
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I want to know how to tune the PI controller in case of parameter estimation,
let say i have equation Ls=[Kp+Ki/2]*[VdEd+VqEq]
so how to estimate Kp and Ki value for better performance of the whole system
I am working on the MRAC system For ac machines
Looking forward for guidance and technical help
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Kris Scicluna for just parameter estimation (Ls, Rs, flux) do we need to use the transfer function of the plant. as these parameters are determined in the adaptive mechanism and then utilized in the reference or adjustable model..........
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What factors can be controlled the availability of cadmium (as spiked such as 6, 12 and 24 mg/kg) in calcareous soil with pH 7.44 and available P 19.65 mg/kg? (other results of soil that used for pot experiment was attached)
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I had the desire to help you, my regards
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Hello;
Is it possible to apply the energy management for DTC controlled induction motor drive?
Thanks and best regards
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@ O. Peter, following
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Hi,
I am currently writing a bachelor thesis at a university sponsored start-up center on the subject of innovation controlling. I would like to measure the success of the Startup Center with KPI's and methods. In the literature, financial indicators are mostly needed for this, but in my case these would be irrelevant, as the matter is publicly funded.
Are there methods that you could recommend that can be implemented without financial indicators? And which performance measurement system could be developed? Is it e.g possible to do the Balance Scorecard without the dimension finance? Also if you could recommend literature I would be very thankful!
Thank your very much for your help!
Kind regads,
Sam
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Thank you very much Shoaib Ul-Haq !
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I notice that the plants in our temperature controlled room were having problems. It looks like pest attack on the rice panicles. Does anyone know what pest this is? and what type of pesticide that i can use?
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From the picture, it appears the black staff is the sooty which is the fungus which is commonly associated with the insect pest, aphids. If they are aphids, you need an aphicide/aphidecide to control.
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But when i just increased the controller gains by a fold of 100 the system was seem to be controlled. The system was measured with a difference of (0.002 milliseconds)
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You may have to adjust the integral along with those gains because the integral may be too fast for the type of calculation.
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We had several different types of recorders deployed this summer (Soundtraps vs. dip hydrophones) and compared the spectrograms of controlled playbacks of whup calls across units and distances. Unsurprisingly they came out looking vastly different on spectrograms. It was easy enough to "hear" that they were the same call, but this is going to be an issue that we need to resolve. Thoughts?
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That would be sweet. Perhaps if anyone has a DSP-savvy masters or new PhD student that wants to cut their teeth on technical concepts? Designing the methodology and carrying it out would be a solid paper, IMO.
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i want to find the losses of complete circuit which consist of inverter , HF transformer,switches resistance and also a PI controller .
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we can approximate an infinite-dimensional system with a finite-dimension system, (for example by proper orthogonal decomposition)
If we stabilize the approximate finite dimension of an infinite-dimensional system (such as a PDE), by stabilizing the controller, does this controller stabilize the infinite-dimension system?
or if it is not possible, how should we stabilize an infinite-dimensional system?
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Dear Ali Namadchian
You are most welcome.
In my page of ReseachGate, or by googling my name you can find all of them easily. If you do not succeed let me know.
All the best.
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I have designed a control system for a based on the paddle displacement and I have been asked whether the controller would cause overshoot of force. I'm not sure whether it is possible to get the overshoot of force from the model because both the input and output of the system are displacement (x) rather than force (f). Any idea?
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Why not make the input of your system Force rather than displacement. This can be done simply by designing a first, or second order ODE system. Then you have a control on the force value. If you use an Optimal Control approach then you can define also some lower and upper boundaries for your input (in this case force).
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while I am designing the droop control strategy for switching of the inverter, to show power flow between dc-ac and ac-dc side, I have noticed in most of the paper they have taken three-phase voltage and current as a reference after the LCL filter output from the inverter, they have transformed abc-DQ(in both voltage and current controller) frame why? and from three-phase, they have transformed into a single-phase dc component?
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Slmply to get red of time variant problem and make solution procedure easer
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I am currently working on a project,volt-var controlling for distributed energy resources (mainly for photovoltaic systems). Even though I have an algorithm to work on, there is no way to control the active and reactive power of a PV system. I hope for an answer. Thank you in advance.
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Here is one more vote for Edison over Westinghouse - a bit late I realize :-)
With a DC system inverter(s) are not necessary, thus a failure link is avoided. Loads are inherently DC. From Tesla, AC serves the purpose of low loss transport over long distances, which is essentially irrelevant for small (e.g. < 10KW) local PV systems. Inverters also have loss that is avoided with use of DC, but that is becoming less of an issue as inverters become more efficient.
If interested, Joe Prusa and I did an ASME paper "Performance of a Small Network of Grid Interactive, Residential Solar Photovoltaic Systems" (here on RG if you care to ponder) that examines the output of several such systems as a function of environment. Too, if interested, you can take a look at the real-time production of a couple of my systems with a link provided there. These systems supply DC for most of the internal loads, but also sell AC to the grid. That link and more explanation is in our Solar Monitoring Project here on RG.
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In virtual flux based direct power control of three-phase converter the powers are estimated based on the virtual flux and currents and switching states of the converter. Practically in laboratory when we are running we are providing the voltage lesser than dc bus voltage reference and once the control loop started working we are increasing the three phase voltage to that level. But when we are installing the inverter at home, firstly we are charging the inverter and then control is applied . once the dc bus voltage is fully charged it will not draw the current from the three phase supply then how virtual flux based dpc for inverter control is working because it needs currents to estimate the flux and based on the flux theta angle is computed to synchronized the inverter with the grid.
In case of rectifier it is easy as the resistive load is connected across the dc bus, But how the initialization and control will takes places in case of three-phase inverter with virtual flux based dpc.
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Once the inverter will start there is no problem because the control strategy and controller will take care of it. But when load is not there how it will be synchronized with the grid. synchronization once the control loop started working is easy as we will get the theta angle from the flux which is 90 degree lagging with the grid voltage. so once the virtual flux based dpc started working there is no problem of synchronization as the control strategy will take care of it with virtual flux angle theta.
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Hello all
I am doing my master thesis on model predictive control. I am controlling the quadruple tank system using the model predictive control. I have done with the hardware design by using arduino and stuffs like that and the MPC design has done as well. But the problem is, how to implement the hardware system with MPC design. Looking for the solutions for my issue. Thanks in advance
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Following the previous answers, I'd like to recommend you another framework that also supports automatic (library-free) code-generation. It is called Casadi (https://web.casadi.org/) and you can use it from MATLAB, Python or C++.
On the other hand, regardind the board, you shoud try with an Arduino Due, Adafruit Feather M0, or any board based on the ARM Cortex-M* architecture. These boards are more (computationally) powerful than an Arduino Mega 2560. You can also try something even more powerful...like a Raspberry Pi or so.
You should also have a look on how are you scripting/defining your optimization problem. Things such as weights, redundant constraints, lack of constraints, lack of regularization, etc, may set an ill-conditioned optimization problem, which may be infeasible or too slow to converge.
Best regards
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Hi
Dear Jie Ren
I have some questions from you about hydrochar production.
Autoclave can be used instead of stainless-steel reactor?
Autoclave can temperature and pressure conditions be controlled for 4 hours for produce hydrochar?
How many bar does 500 ml of pressure?
The bottle contain organic matter and deionized water for produce hydrochar when placed inside the reactor should be completely closed ?
Thanks from you for giving me more details of hydrochar production.
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Yes it is!
But it depends on your bottle and the temperature. Beceause in a closed system (your bottle) the pressure depends from your temperature. At 180°C you get a water vapor pressure of 1 MPa and when you increase the temperature up to 250°C you have a pressure of 4 MPa. Probably, it will not work with a simple glass bottle.
Therefore, I recommend you a sealed stainless steel tube.
Hope the information will help you!
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How to implement a discrete-time controller to a state delayed continuous-time state-space model using ODE45 in MATLAB?
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1. Assume sample time is 'T' and total simulation time is 't'. The number of iterations will be 'k = t/T'.
2. Now assume initial state and input vectors are X0 and U0 (these are values for k=1). To find for next step (k=2), X0 and U0 has to be propagated through system dynamics (ode45, Euler integration or any method). If using ode45, the initial state will be X0, time vector will be [0 kT]. U0 can be supplied as a global variable. This returns a X vector. Take last value of the vector as value for k=2 (neglect the intermediate values).
3. For k=3, repeat above process, with X0 is replaced by X1 and U0 is updated to U1.
If control is designed on continuous time system, the difference in response between discrete control becomes larger as T becomes large.
Note: Please correct me if I understood your question wrongly.
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Where can I find standard dimensions for dental posts and abutments? I only need the typical dimensions, so just a general dimension would suffice. In addition, functionally graded (FG) implants with controlled porosities in them are used in the dental industry. Is there a standard guide on the implant designs/ dimensions of FG implants?
Thank you.
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You can try from websites of dental implants manufacturers
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What if the pendulum angle set-point of a inverted pendulum (IP) is not zero? Have you ever tried it?
If the result is the same with the zero set-point , Does it mean that the system is controllable but not accessible?
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the base position (with ref value at zero), and the base acceleration
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The Raspberry Pi is used as a central controller for customer face recognition. Both, the Raspberry Pi 3 and ODROID-XU4 come with a quad-core ARM Cortex-A7, but the extra clock speed and RAM in ODROID-XU4. it supports 4K videos .So,As an alternative is it be beneficial to use ODROID-XU4 instead of Raspberry Pi?
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I am currently using a Rpi 3 with a Qt application as a HMI. The application runs fine to a certain point and it can do about everything. There is however one menu in which the machine will send a lot of bytes to let the HMI display text on the monitor. And it is simply too much for the Rpi to handle it. I might be able to fix this in software but in worst case scenario I'd have to update the hardware.
So I have been doing a little bit of research and I have found the following boards. - Asus tinkerboard - Banana Pi - Odroid C2 - Odroid XU4
The first 3 are buffed Raspberry Pi clones and the 4th appears to be the strongest, and you get to use a eMMC module which appears to be much faster than an SD card.
I'd prefer to be able to simply swap the Sd-card without losing functionality like you do when you from from Pi2 to Pi3. What is an absolute must is that I can run a Qt application on it whether it is cross-compiled on my Pc or native compiled.
The Odroid XU4 looks like very powerfull hardware to me, but I doubt if I can simply swap the Raspian Sd card. Can anybody share experience or give advice?
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I want to calculate the capacitive and diffusive contributions of graphene-NiCo2O4 composite, so, for this I have to consider the specific capacitance (F/g) or specific capacity (C/g or mA h/g) value. Some reports have specific capacitance value (F/g) and some are in C/g or mAh/g, also some reports have calculated specific capacity (C/g) from cyclic voltemmetry, and specific capacitance (F/g) from charge-discharge curves in the same report, hence I am in doubt. So, please help me in this regard and if any recent literature is available for clear understanding kindly provide me.
Thank you.
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Dear Zahran Daraghma Sir,
I have followed 3-electrode method in order to evaluate the materials performance. Also I have fabricated a symmetrical supercapacitor device by using the graphene-NiCo2O4 composite as both positive and negative electrode material.