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2025 4th International Conference on Energy Utilization and Automation (ICEUA 2025) will be held in Beijing, China from January 17-19, 2025.
Conference Website: https://ais.cn/u/quqeE3
---Call for papers---
The topics of interest for submission include, but are not limited to:
1. Energy Engineering
· Simulation and optimization of energy conversion systems
· Energy materials
· Carbon capture and storage
· Energy equipment
· Modelling and optimization of heat pumps, refrigeration and air conditioning systems
· Urban energy systems
· Energy storage systems
· Transport and distribution of electric Energy
·New energy systems and control technology
2. Automation Engineering
· Measurement and control technology and instrumentation
· Modern signal processing and detection technology
· Automation technology applications
· Microwave millimeter wave test technology and remote sensing
· Automatic control application theory
· Control systems engineering
· Control system simulation technology
· Navigation guidance and control
· Fluid transmission and control
· Automation instrumentation and devices
· Robot control
· Control science and technology
---Publication---
Submitted paper will be peer reviewed by conference committees, and accepted papers after registration and presentation will be published in Journal of Physics: Conference Series (ISSN:1742-6596), which will be submitted for indexing by EI Compendex, Scopus.
---Important Dates---
Full Paper Submission Date: December 27, 2024
Registration Date: January 6, 2025
Final Paper Submission Date: January 10, 2025
Conference Dates: January 17-19, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
In deriving a model of an LTI dynamic system, the model of the system does have no RHP zeros, however, when inspecting the step response, it reveals a non-minimum phase system represented by a small negative (backward) time response. How to relate?
How can advanced wastewater treatment processes be integrated with real-time monitoring and adaptive control systems to enhance the removal efficiency of micropollutants and pathogens, while also optimizing energy consumption and minimizing the production of secondary pollutants?
I am seeking information about the 'actual' real-life applications of metaheuristic algorithms, specifically beyond academic research papers. I understand that these algorithms are powerful optimization tools in fields like Engineering Design, Scheduling, Finance, Robotics, and Control Systems, among others. Could you specifically tell me about the industries or companies that currently use these optimization techniques, and for which tasks or business operations? I am interested in understanding their true practical utilization in the real world.
S. Hasan Saeed treated wrote on Automatic Control Systems (with MATLAB programs) and one of his books has Chapter 12 as Robust Control Systems. If you have the book, kindly take snap shot of chapter 12 only and send to jocianvef2004@gmail.com, please. I am dare in need of his explanation in that topic.
What is the latest research progress of adaptive signal control system in the field of transportation?and I feel that if it is just to improve efficiency, it is meaningless.
I'm currently tasked with designing the control system for a reverse osmosis (RO) feasibility project. I'm looking for guidance on how to approach this design process and what software options are available for designing control systems. Additionally, I'm interested in exploring how artificial intelligence (AI) can be integrated into this project to enhance its functionality and efficiency. Can you provide insights on these aspects?
I have a Control System Panel having a PLC system and Control Relays installed in the panel. This panel is to be subjected to the "Seismic Shake Table Test with 5OBE + 1 SSE vibration level". The "Electromechanical SLIM Relay, 24V DC operated, 6mm Thick SLIM Type" is a major component in this panel (250+ Nos quantity).
I understand that electromechanical relay has a reed switch that may move due to vibrations hence the Shake Table Test will fail if any of the relay becomes non operative after the vibrations.
Whether I need to go for alternate type of relays (Such as Solid state type relay SSR ? An SSR activates the Transistor base and the output (emitter of Transistor) will drive the field output load .
Will the electromechanical relay pass a Seismic vibrations of SSE level ?
Appreciate any expert opinion and suggestions on the above.
Regards
Amol

2024 5th International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2024) will be held in Shenzhen, China, from June 14 to 16, 2024.
---Call For Papers---
The topics of interest for submission include, but are not limited to:
(1) Artificial Intelligence
- Intelligent Control
- Machine learning
- Modeling and identification
......
(2) Sensor
- Sensor/Actuator Systems
- Wireless Sensors and Sensor Networks
- Intelligent Sensor and Soft Sensor
......
(3) Control Theory And Application
- Control System Modeling
- Intelligent Optimization Algorithm and Application
- Man-Machine Interactions
......
(4) Material science and Technology in Manufacturing
- Artificial Material
- Forming and Joining
- Novel Material Fabrication
......
(5) Mechanic Manufacturing System and Automation
- Manufacturing Process Simulation
- CIMS and Manufacturing System
- Mechanical and Liquid Flow Dynamic
......
All accepted papers will be published in the Conference Proceedings, which will be submitted for indexing by EI Compendex, Scopus.
Important Dates:
Full Paper Submission Date: April 1, 2024
Registration Deadline: May 31, 2024
Final Paper Submission Date: May 14, 2024
Conference Dates: June 14-16, 2024
For More Details please visit:
Invitation code: AISCONF
*Using the invitation code on submission system/registration can get priority review and feedback

Hi,
I am going to graduate soon InshaaALLAH.
I have a plan to write a patent, I am currently working in the control and design laboratory and my Prof. expertise is also in control systems.
I will continue as a researcher in my current lab after my MS degree. So, I want to make this journey joyful and full of learning, and doing something great. I want to present some proposals to write a patent during my job as a researcher.
I believe that mechanical engineering is so old and already a lot of areas are explored and it is difficult to find some novel topics for research except integrating AI to make it novel.
I am open to recommendations that use AI in the control systems domain or LiDAR.
Good morning, I newly joined research scholar, suggest me how to start my research on
“High gain DC-DC converters using control systems.”
Hello researchers;
when I am trying to apply model reference adaptive controller in controlling of 2-dof robotic manipulators, some difficulties faced me. as we know all, in model reference adaptive control system we need the transfer function of both the plant and the model. this is so possible in linear systems. but what we have to do in case of if our system is nonlinear? such as in 2-dof robotic manipulators.
How to integrate Cupcarbon and Sumo to implement Iot-aware neurofuzzy-based traffic control system? I am working on the implementation of my research. I need the best approach to do the above . I need the best programming choice python or matlab or java
The step response of an MPC control system for a nonlinear plant gives a response with vertical line before it starts tracking. I have been trying to figure out what could be responsible for the vertical line and how to eliminate it. suggestions on how to eliminate the vertical or what could be repsonsible is welcome. I have attached the response below
Dear Colleagues ; I am interested in studying advanced techniques for AC machines and i need to answers some questions they are as follows:
1/ Which basic distinctions set observation techniques apart from control approaches?
2/ Does the application of the type of observation impact the performance of the AC machines when hybridization between advanced techniques approaches occurs?
3/ Is it possible to apply both strategy to the machine by applying different techniques for each strategy?
3/ If we improve the rates of each strategy using advanced artificial intelligence techniques, will this increase the data of the controlled system?
4/ What's the difference between the MRAS, LGI (Kalman filter) and SMO. Are they limited to a specific time for machine systems?.
5/ Is it logical to apply a technique subject to a linear strategy to a nonlinear model of a machine like the Kalman filter or the extended-based adaptive observation?
How can advanced fuzzy logic and machine learning techniques be integrated to enhance decision-making and control systems in complex, uncertain, and dynamic environments, such as autonomous vehicles navigating real-world urban traffic scenarios?
Hello:
I have a question about the definition of adaptive control, since I´m researching about making a model-free adaptive control system. I will appreciate your help.
The definition I found says that an adaptive control modifies its parameters or structure in order to achieve a performance index. Reading about the subject in different sources I noticed that when they refer to an adaptive controller, it always has a model of the plant and implies an adaptation law which is usually obtained by taking the model and manipulating expressions.
My deduction is that when these sources refers to adaptive control, is about a kind of this instead. Am I right? I will really appreciate your support on this.
Thanks.
Pablo.
Hello there!
I'm looking for some decent Control System Idea titles that can be used for my undergraduate thesis at the Undergraduate level.
Various domains have methods for compatibility testing. For example: Software, design, electrical (keyword E-Plan), control systems, network technology,
it does not have to be exclusively domains in the mechatronics field
I will like to conduct a study to comparatively assess the internal control system of 2 companies in other to find out which of them is more efficent
What term or name is appropriate for the control system that incorporates a form of feedback from the overall controller signal, which accumulates within a limit and results in a slight adjustment to the system's setpoint, in addition to the typical PID control?
Thank you...

IASC-Intelligent Automation & Soft Computing new special issue “New Advances and Applications in Intelligent Control Systems” is open for submission now.We are calling for papers.Details:https://www.techscience.com/iasc/special_detail/intelligent-control-systems
Keywords
1.New theories, methods and performance evaluation of intelligent control systems
2.Advanced neural networks and fuzzy controllers
3.Machine learning and deep learning-based control systems
4.Wireless networked control
5.Automatic control using cyber-physical systems and internet of things (IoT)
6.Advanced control of manipulators and robotics
7.Bio-inspired optimization algorithms for auto-tuning control design
8.Recent intelligent control applications of industrial manufacturing and biomedical systems
I am working on a small wind turbine as part of my internship for my course. The rated capacity of the small wind turbine is 700 watts at a rated wind speed of (…) m/s. The turbine is installed on a (height of the pole) m- steel pole/ tower. Further, the turbine is connected to the local electricity grid.
Challenges faced: At 3 m/s- windspeed, I am observing that the connected sensors/ electronics are consuming 15W
How errors should be manipulated for a PID control system in which control two parameters and as a result it takes two errors to calculate the input signal for the system?
Hey, I’m looking for a thesis topic within blockchain and MCS. Thinking more of how organization can adapt it in their system.
I want to design a control system which can control the fan on all four sides, by this i mean a single fan can be lifted [upwards downwards left and right] ,is this possible ?
The idea i want to use it in the agriculture system for pesticides control.
I am new to MD simulation and as part of my learning I am trying different methods to control temperature and pressure of a system by changing the factors. I am trying to apply velocity rescaling now but I am not sure how it works on lammps. I checked the documentation but I still can't figure it out how can I apply it.
Thanks
Dear all,
Can we say, robust iterative learning control design, in other form is Data driven control design
I have used Casadi in interpreter mode and through mex file. However, the script is not very flexible, especially when the control problem involves tracking of an arbitrary reference signal. Have anyone tried ICLOCS, Acado or other tools in Simulink? Kindly share your experience.
I already saw some examples of GA (genetic algorithm) applications to tune PID parameters, but I (until now) don't know a way to define the bounds. The bounds are always presented in manuscripts, but they appear without great explanations. I suspect that they are obtained in empirical methods.
Could Anyone recommend me research?
Please suggest the most useful of software on Linear Matrix Inequalities to solve Fuzzy control systems?
Hi guys, I am simulating a horizontal axis small scale wind turbine using Ansys Fluent. In order to validate the manufacturing data, I vary the wind speed and its corresponded angular velocity, but unfortunately the obtained results exceeds the experimental ones especially in high wind speeds (15m/s). According to the wind turbine manufacturer the turbine have a pitch control system, but there is no information about the used pitch angle in the experimental results. What must I do in this case? Can I choose the pitch angle that gives the same results as experimental ones ?
Thank you.
Please explain, what is the importance to introduce the disturbances in the process?
Also explain, why most of the disturbances in the process are commonly represented by an impulse function? provide me reference also.
We know that robot pose errors are very common and that robot trajectories are pre-constructed and generated from CAD models in machining scenarios. However, for the trajectory points, there are inherent errors, and we need to compensate for the position and attitude of these trajectory points.
The existing off-line compensation is very common, but it lacks real-time, and the compensation objects are all the results obtained from pre-experiments. In fact such compensation, in a new experiment, the whole process is different from that of the pre-experiment because of the compensation done, so the final compensation also all stay at the level of being able to improve the performance, and theoretically such compensation is also all incomplete.
How to compensate for the new point errors based on the information obtained in real time, and update the point information of the generated trajectory in real time?
My robot is an ABB, and it would be great if you could offer some advice on the robot control system,transmission of data, branching of the perception model, etc.
Thanks to all the researchers who discussed and replied.
Especially for industrial/process control systems, there is a lot of resistance to having historized data stored in the cloud as it is seen as much less secure. Is this perception correct and if so is there any evidence for it?
Hi
I am trying to learn control systems for job opportunities.
I have some background bu rather to start from zero and go from there to to infinity and beyond
Also need to work on my matlab coding abilities for this
What are your suggestions?
I am trying to get bode plot for a boost converter with closed loop control. if the input output signals were a certain waveforms, than their phase difference would be easily calculated but in this case how do i determine the phase (lag or lead) for the given frequency? is it related to sampling period of the control loop and how much time would it take to bring the change to output after a certain change in input has been done?
Is it sampling frequency of control loop or some kind of resonance frequency of the system ??
Usually, we analyze the observability of a system through an observability matrix. For example, for a VO/VIO system, we can calculate its observability matrix according to its state space equation and analyze its unobservable dimensions: monocular VO is 7, monocular VIO is 4; however, for the monocular VO based on the optimization method, we can also get its unobservable dimension of 7 by calculating the zero space of its Hessian matrix. Is there any connection between them?

I am working on the real data of the physical property. I have gotten the bode plot data (I am working on frequency domain data). I have tried to identify the data and get the model. But the fitness is very low (40%).
When I checked using state space identification with 10 state, I got a better result around 80%. But the requirement is I have to use second order system.
My question is, how to increase the fitness score of my model with the limitation I have to use second order system?
PID controller is one of the most techniques that are used to improve control system operation, now with control valve how PID controller achieves practically?
Which SCI/SCIE journals publish work in the field of control systems with a high acceptance rate and also respond fast?
I want to implement Fuzzy Control in an actual production process based on S7-1200 PLC , I have simulated the fuzzy control system in Matlab .But ,When i want to programe the PLC code using Siemens TIA Portral software, I found the fuzzy inference and defuzzication is difficult to programme. I have read many articles and papers disscusing fuzzy control based on PLC, they all omited the key step ,that is how to programme the fuzzy inference and defuzzication, so i still confused about that. I am very long for someone to be able to give me some help or share me some fragments of the PLC code related to this question.
My E-mail: 22060897@zju.edu.cn
Thanks for all reading my question!
In control theory, using Routh array test, it can be established that a quadratic polynomial
p(x) = a x^2 + b x + c (where a > 0)
is a Hurwitz polynomial (i.e. it has roots with negative real part) if and only if a > 0, b > 0 and c > 0. In an equivalent way, this can be proved using Hurwitz determinants.
I am looking for a simple proof for this fact. Without loss of generality, we can assume a = 1.
For p(x) = x^2 + b x + c, we can use the root finder formula and discuss various cases.
Is there any simple proof? I welcome your ideas and suggestions. Thank you!
I'm looking for a exhaustive paper (or book) regardind a four (or two) wheeled robot trajectory control system in order to reproduce and fully understand the kinematics and control system equations.
My rover has four motor, one for wheel, and turns through a wheel speed control.
Would be amazing find the PID control design on the angle and speed control as well as the trigonometric equations of the robot trajectory.
Thank you very much
Dear researchers
What is your opinion about the criterion recommended in seismic codes for determining scaling period, which are used to scale ground motion records?
As you know, the mentioned criterion is the period of the structure’s dominant mode, which has the largest modal participating mass ratio (usually the first vibration mode). Hence, the period of the mode with the second largest modal participating mass ratio is not considered in the scaling process. Consequently, although this criterion usually results in the largest value of scaling period, it is not logical ones.
This is especially important when Tuned Mass damper (TMD) or Base-Isolation system is utilized, which cause the modal properties of the structures to change.
I used a new criterion based on the weighted mean value of the periods for the structures equipped with TMD.
Have you used any criteria other than the criterion mentioned in the seismic codes?
To be specific, the rotation of the aircraft around the three axis can be controlled by several part, the rudder and vertical stabilizer or differential thrust for multi engine aircraft control the yaw , the pitch and the roll are controlled by the wing flaps and elevators.
Exactly which of those are controlled by a computer in modern aircraft (military or commercial) and to which extent.
And where I can learn the most technical details about this subject (a book is preferred)
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)
hi every one
I'm trying to test my protection algorithm with an on-grid PV system (at least 2 parallel strings containing minimum of 4 modules per string).
I would appreciate if anyone can provide me a test simulation file ( matlab is preferred) with its full control system (with mppt)
I have to compare five level MLI in term of efficiency and THD which has less number of switches.
hello,
i work on a controlled Microgrid and i want to test the robustness of my controller againt a white noise that may be added to the output or the input. Is there is any specific condition to follow in order to take a good choise of a noise power ? or it is somthing random ?
- Actually i tried to take it about 3% of the nominal measurement value, is this enough to be good choice ?
- in addition, i tried the two types of noises, but i noticed that the one applied on the output affects much more the system than the one applied on the output (in such a way, my system looses its stability with the output noise, but gives an acceptable performance with the input noise ) , is this reasonnable ? if yes, why ?
thank you in advance
Hi Everyone. what are the hot topics for a theoretical and practical PHD research in control systems. It would be nice if you recommend some, with mentioning some related works through these years.
How can I effectively construct one state-space description, which is in fact a combination of multiple individual state space descriptions? Algebraic relationships between state-variables and input signals, will lead to off-diagonal terms in the resulting state-space matrix. For small systems this can easily be done by hand, but how can this be done effectively for larger systems?
To clarify my question:
suppose there are 2 state-space descriptions: \dot{x}_1 = A1(x1,t) x1 + B1(x1,t) u1 and \dot{x}_2 = A2(x2,t) x2 + B2(x2,t) u2, which are interconnected as described by the algebraic equation: f(x1,x2,u1,u2)=0. How can these two state-space descriptions be integrated efficiently to one big \dot{x} = A(x,t) x + B(x,t) u?
The resulting state-space description will be used for stability analysis purposes. Maybe it is better to analyze DAE system descriptions in order to analyze the stability?
It would be especially helpful if there are any symbolic methods, which also allow for nonlinear state-space descriptions.
If you can provide me with some good references, this would be a great help.
Thanks in advance.
LQR based control system is offline because it is computed once before running of simulation or experiment.
As input-output data we use LQR based optimal control system applied to motor speed tracking application. We would like to estimate K optimal gain based Moorse-Penrose pseudo -inverse derivation. So, this control system is not based on the model, therefore A,B matrices are unknown. Model is black box.
Except the Neural Networks based control system, I would like to know whether it possible to implement online control system when estimated K optimal gain matrix will be updated each instant (each cycle).
Dear friends:
In some calculation in control theory, I need to show that the following matrix
E = I - (C B)^{-1} B C
is a singular matrix. Here, B is (n X 1) column vector and C is (1 X n) row vector. Also, I is the identify matrix of order n. So, the matrix E is well-defined.
I have verified this by trying many examples from MATLAB, but I need a mathematical proof.
This is perhaps a simple calculation in linear algebra, but I don't see it!
Any help on this is highly appreciated.. Thanks..
I want to know that the junctionless GAA MOSFET is used for creating induced source and drain through charge plasma concept but can that junctionless bar of semiconductor be fully intrinsic or it has to be fully doped.
Do we used intrinsic junctionless bar or lightly doped bar for creating induced source and drain?
Can someone explain it in simple words?
Hello, Can we find Kp, Ki, and Kd values of PID, Lead-lag, or Type2/Type3 compensator? I have designed a type2 compensator for my system but now I need a PID controller for the same system can I access Kp and Ki values from the Type2 compensator? Please guide me
We use many mathematical models and state-space models in digital control systems. Before applying these concepts in real life scenarios, how useful (or less useful) it is to do a simulation in MATLAB?
Hi everyone,
I'm currently designing a control system for a swimming pool. Could you please suggest a sensor which can be used to measure the concentration of chlorine in the pool?
Thanks in advance :)
I get some negative vibe from the internet saying root locus is limited to education instrument to study pole and zero in s-plane which then forgotten after the university study. Does this suggest it a useless instrument for control system engineering in industry or alike. I have seen many bode plots and Nyquist analyses from the electronics arena by Analog Device or Texas Instrument website and app notes. Not so much on root locus design (and analysis).
Based on Nise Control System (now on Chapter 11), I gather zero can be placed close to the pole to mitigate the dominant pole to improve transient or steady-state error or both (Darth Vader versa Jedi battle there). I have seen a few comments that pole-zero cancellation is not a practical solution due to system tolerance and drift, is this a realistic issue for an electronic system, given that component's tolerance and precision, could be more precise than some mechanical systems?
I have come across some Nonlinear Control System problems where I need to implement Matlab code but unfortunately, it's getting too tough to start with. I can some of the problems such as,
1. Population Dynamics using Lotka–Volterra differential equations.
2. Continuous Stirred Tank Reactor (CSTR) using van–der–Vusse
reaction scheme.
3. PI Controller for Linear and Nonlinear system
So I'm in my first year Masters program, with option in Automatic Control systems. When I look up research topics, I see plenty ambiguous topics , twisted and I wonder how this topics are formulated or is there a pattern and people are improving on them.
I currently still cannot come up with a topic to work on.
My interest is in control systems engineering and it should address industrial challenges.
I don't want to choose what won't be of importance and impact.
Your input will go a long way to help me decide on what to work on.
Hello !
Was trying to build interleaved PFC architecture in simscape but getting the error (attached) "The following inductors are connected together " after switching has started.
Some matlab answers say its inherent issue. any one can help how to solve it ?
Thanks in Advance
As I know, the ordinary differential equation (ODE), xdot= -x^3+u, where x is the state variable, and u the control variable, is the control system associated to a falling object in atmosphere with viscous drag. I am not sure to be correct on that! Please comment on that!.
Update 1: xdot= -x^3+u, is called the hyper-sensitive system.
c.f.: A Collection of Optimal Control Test Problems: John T Betts.
Another example is velocity control for aircrafts in horizontal flight, which has an ODE evolution:
xdot=-x^2+u. Notice the attachment picked from:
Optimal Control with Engineering Applications; By: Hans Peter Geering.
I want to also know the real model associated to the control system described by the ODE: xdot= x^3+u. I guess more probably, this is associated to electrical systems.
Update 2: My own intuition says, positively damped systems as:
x_dot+x^3=u
are mechanical. Meanwhile, negatively damped systems as:
x_dot-x^3=u
are electrical.
You can yourself find some other examples in this regard.

Greetings All,
I'm a MSc in Electrical Engineering Student and interested in Control System, anybody has an Idea of Theses Title for Control System where I can implement the concept of AI?
Thanks and Regards.
Thaer Ibrahim.
I would like to know application of learning and control in MAS setting. And where could I find simulation codes of learning in MAS control
please suggest me to choose a topic in non linear control system . from where i choose and read research papers.
Hi all, I have a question for Control system development specialists.
I compute controllability of linear system through MATLAB function ctrb, and I know that system have 1 uncontrollable state. How to define which state is uncontrollable?