Science topic
Control Systems Engineering - Science topic
Control engineering or control systems engineering is the engineering discipline that applies control theory to design systems with desired behaviors.
Questions related to Control Systems Engineering
会议征稿:第四届计算机、物联网与控制工程国际学术会议(CITCE 2024)
Call for papers: 2024 4th International Conference on Computer, Internet of Things and Control Engineering (CITCE 2024) will be held on November 1-3, 2024 in Wuhan, China as a hybrid meeting.
Conference website(English):https://ais.cn/u/IJfQVv
重要信息
大会官网(投稿网址):https://ais.cn/u/IJfQVv
大会时间:2024年11月1-3日
大会地点:中国-武汉
收录类型:EI Compendex,Scopus
会议详情
第四届计算机、物联网与控制工程国际学术会议(CITCE 2024)将于2024年11月1-3日在中国-武汉召开。CITCE 2024将围绕计算机、物联网与控制工程的最新研究领域,为来自国内外高等院校、科学研究所、企事业单位的专家、教授、学者、工程师等提供一个分享专业经验、扩大专业网络、展示研究成果的国际平台,以期推动该领域理论、技术在高校和企业的发展和应用,也为参会者建立业务或研究上的联系以及寻找未来事业上的全球合作伙伴。大会诚邀国内外高校、科研机构专家、学者,企业界人士及其他相关人员参会交流。
征稿主题
1. 计算机科学:演算法、图像处理、计算机视觉、机器学习、智能数据分析与数据挖掘、数学和计算机建模、人工智能、神经网络、系统安全、机器人与自动化、信息系统、高性能计算、网路通讯、人机交互、电脑建模等;
2. 物联网:人工智能技术与应用、CPS技术与智能信息系统、物联网环境中的多网资源共享、物联网技术体系架构 、物联网中的云计算与大数据、边缘智能与区块链、智慧城市、物联网可穿戴设备 、智能家居、物联网与传感器技术等;
3. 控制工程:系统和自动化、电气系统、过程控制、工业控制技术、计算机科学与工程、电子工程学、软件工程、控制技术、传感器网络、移动互联网、无线网络和系统、计算机控制系统、自适应和最优控制、智能控制、电气自动化、智能控制和智能系统、智能管理和决策、分布式控制、驱动电机和控制技术、动力电池管理和维护技术、微传感器和执行器、移动机器人等
**其它相关主题均可
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会议征稿:第七届机械、控制与计算机工程国际学术会议(ICMCCE2024)
Call for papers: IEEE 2024 7th International Conference on Mechanical, Control and Computer Engineering (ICMCCE 2024), organized by Chaohu University and Shenyang Ligong University will be held in Hangzhou during October 25 to 27, 2024.
Conference website(English):https://ais.cn/u/IrMvmq
重要信息
大会官网(投稿网址):https://ais.cn/u/IrMvmq
大会时间:2024年10月25-27日
大会地点:中国杭州
收录类型:EI Compendex,Scopus
主办单位:巢湖学院
会议详情
第七届机械、控制与计算机工程国际学术会议定于2024年10月25日至27日在中国杭州召开。本届会议由巢湖学院主办,主要围绕“机械”、“控制”与“计算机工程”等研究领域展开讨论。旨在为机械、控制与计算机工程方面的专家学者及企业发展人提供一个分享研究成果、讨论存在的问题与挑战、探索前沿科技的国际性合作交流平台。欢迎海内外学者投稿和参会。
会议征稿主题(包括但不限于)
1、机械工程
2、自动化及控制工程
3、计算机工程
4、电子和通信技术
更多相关主题请查看官网
论文出版
本次会议投稿论文都须经过2-3位组委会专家审稿,最终录用的论文将提交出版,见刊后提交至 EI Compendex、Scopus检索,目前该出版社EI检索非常稳定。往届会议已被EI检索!
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所有参会人员均可申请报告或海报展示,可开具证明
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4、报名参会:https://ais.cn/u/IrMvmq


I have a system with 3 input and single output. In system Identification toolbox of MATLAB, how i put the 3 input data sets for estimating the system models simultaneously?
2024 IEEE 6th International Conference on Internet of Things, Automation and Artificial Intelligence(IoTAAI 2024) will be held in Guangzhou, China from July 26 to 28, 2024.
Conference Webise: https://ais.cn/u/InumA3
The conference aims to provide a large platform for researchers in the field of modern machinery manufacturing and materials engineering to communicate and provide the participants with the most cutting-edge scientific and technological information. The conference invites experts and scholars from universities and research institutions, business people and other related personnel from home and abroad to attend and exchange ideas.
---Call For Papers---
The topics of interest for submission include, but are not limited to:
1. Internet of Things
IoT Electronics
IoT Enabling Technologies
IoT Networks
IoT Applications
IoT Architecture
......
2. Automation
Electrical Automation
Circuits and Systems
Control Engineering
Robotics and Automation Systems
Automatic control and Information Technology
......
3. Artificial Intelligence
Intelligent Systems
Intelligent Optimized Design
Virtual Manufacturing and Network Manufacturing
System Optimization
......
All accepted full papers will be published and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing.
Important Dates:
Full Paper Submission Date: May 11, 2024
Registration Deadline: July 24, 2024
Final Paper Submission Date: July 22, 2024
Conference Dates: July 26-28, 2024
For More Details please visit:
Invitation code: AISCONF
*Using the invitation code on submission system/registration can get priority review and feedback

How can I implant ANFIS as a controller in MATLAB/SIMULINK simulation for sit to stand movement supported with functional electrical stimulation in paraplegics. I think it will be inverse dynamic model and I should use model base controller
Background:
In control theory we often develop new methods for analysis or controller/observer/filter design and usually evaluate them with numerical simulations. In many papers only a few selected examples are considered.
I think it would be desirable, if there was a catalogue of potential example systems which contains a variety of system models from one could select those which are suitable for a specific use case. A colleague and I are working on such a catalogue (see https://ackrep.org for more information).
After establishing the framework, a basic ontology ("Ontology of Control Systems Engineering") and some preliminary examples (e.g. cart pole system, Brockett integrator, some PDEs and DAEs), we now look for more content. Another colleague recommended http://www.compleib.de/ which contains > 100 linear state space systems.
I am also aware of some other small collections of nonlinear/mechanical systems (available only as PDF file) such as :
Differential Flatness of Mechanical Control Systems: A Catalog of Prototype Systems, 1995 Murray, Rathinam, Sluis
Question:
Are you aware of other catalogues or collections of dynamical systems? Preferably, the equations (and potential metadata) are available in a machine actionable format, but this is optional.
I hope this message finds you'll well. My name is Onyero Walter Ofuzim. I am reaching out to express my interest in collaborating in the field of Electrical/Electronic Engineering mainly in Control Systems Engineering, Dynamic Networks, Machine Learning, IoT, and/or Robotics.
I am deeply passionate about these areas and have been actively involved in research and projects related to them. I firmly believe that collaborating with others in this field will not only increase my chances of getting into a foreign-funded Masters or Ph.D. program, which is my ultimate goal but also help drive innovation and advancements in the field.
I am eager to share my ideas and knowledge and learn from others to contribute to the growth and development of these cutting-edge technologies. I am confident that my skills and experience will be a valuable asset to any team, and I look forward to the opportunity to work with anyone who will be nice to have me.
Thank you for considering my request for collaboration. I look forward to hearing about a possible invitation.
Feel free to explore my profile as I am optimizing it to make my chances high.
I admitted as an undergraduate to multiple universities in Arizona and Colorado! I have been actively looking for admission to the university to continuously prepare me as an investigator/innovation scientist in mineral exploration by building my foundational knowledge in metallurgy, chemistry, control systems engineering, geochemistry, geophysics, etc. These might be included in my coursework.
My focus may be on "control system engineering" compared to "geoscience," as I want to spend my effort investigating sensor innovation using metallurgy, geophysics, chemistry, etc. for mineral exploration. Precisely, investigative research will be on creating "detection technology for purposing of Mining exploration and extraction"
So, I'm confused with two queries:
1. Which university would be the best option based on my research interests?
2. Which major and region for internship/ real time research job corresponds to what I'm actually looking for?
Hope you already understand I’ve applied many universities with getting rejection that didn’t also find exact research team yet I’m looking. Thank you so much.
With this question, I want to know that proper systems exist? or they are just theoretical systems?
In his name is the judge
Hi everyone
In order to use controller for structure with absorber, have to connect matlab and opensees in real time :
it means in each loop in opensees data must send to matlab and then matlab do some prossess with controller like fuzzy then send back data to opensees
Relying on researching and consulting the only way is use hybrid simulation (like openfresco),
do you have any other idea or way to connect these two programs without using openfresco?
Translation results
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Consult
Wish you best.
Take refuge in the right.
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?
How long does it take to a journal indexed in the "Emerging Sources Citation Index" get an Impact Factor? What is the future of journals indexed in Emerging Sources Citation Index?
As IEC 61131-3 standard for PLC programming languages defines a few of them, it will be useful to learn what our colleagues apply for PLC programming.
Does anyone know if I can connect the attached DAQ (CASSY type) to MATLAB real time simulink for controlling purposes?

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)
Assuming that no motion in the normal direction, how would you propose a system of hardware and interconnection as well as the control strategy that will drive the system?
Suppose we have a lipschitz nonlinear system with a disturbance input. The disturbance is of decaying exponential like nature with an upper bound known.
System: x_dot = f(x) + g(x)u(t) + d(t)
where, x:state; u(t): control input; d(t): Disturbance input
How can we design nonlinear observer for such system?
Hi!
I have started working on a project "floating sensor networks (FSN) for continuous water quality monitoring". For which I need simulator to measure Like, pH, Turbidity, Salinity, Temperature, DO, EC, etc. Rather than going with real time deployment of FSN for measuring water quality sensors.
Objectives of the Project:
A. Water Quality Measurement
B. Reliable Data Transform
C. Congestion Control
D. Deployment Strategy
E. Energy Harvesting
All objectives should be carried out simulation based. Kindly suggest whether this work will done via simulation design (either partially or whole)
Thanks in Advance.
Hello everyone,
I'm looking for some short courses (not online) in the field of CE (more interested in Automotive control) in Europe.
My field of interests are,
- Robotic Control Systems
- Vehicular Dynamics Control
- Motion Control
- Data-Driven Control
- Optimal Control
- System Identification
- Reinforcement Learning Control Design.
I can participate by Self-Fund but I will be happier if there will be a scholarship or something,
please help me in this area if you have any experience,
Thanks a lot for reading,
Yours cordially,
A. M.
We can avoid dq transformation by using PR controller. Why don't we use PR controller in industry? Why do we prefer PI controller?
it means the oil pump to be sometimes able to turn off during the driving cycle, and if it is possible, how efficient would it be? (more particularly in heavy vehicles like a bus).
I am designing a flight controller for a quadrotor.
At first I am designing a nested/cascaded controller consisting of only proportional controllers Kp . Now, if i tune the rate controller for 10 rad/s cross-over frequency, what should be the cross-over frequency for the angle, velocity and then the position loops. Also, what else do i need to know while designing a flight controller for practical implementation purposes?
Secondly, How do we implement a own flight controller such as observer based via arducopter?
I am trying to discretize a continuous time state space model using the following code
s=tf('s');
G=1/(Iyy*(s^2))
Gs=ss(G)
Gd=c2d(Gs,0.01,'zoh');
Now, when i use this discretized model 'Discrete State-space Model' in simulink, my close loop system goes unstable. Same is happening with observer, like discretized observer is making close loop system unstable. Can someone help me here?
Optimal control and nonlinear control system.
Consider a system with relative degree two with respect to a chosen sliding output function s. If twisting controller is applied for control, what are the expected drawbacks in control performance and steady state behaviour? You may consider that $s$ and $\dot{s}$ is available.
PID controller is reportedly widely built and used in control systems engineering for industrial applications. The PID-controller has a transfer function as: (Kd*s^2+Kp*s+Ki)/s.
Therefore, it seems such a transfer function box, could be built in terms of an electronic circuit component.
Meanwhile, the order of an observer-based controller is higher than a PID-controller, as for example you see in the snap-shot from Ogata control engineering book, attached. Since Ogata is a practical engineering text-book, therefore I guess such an observer-based controller could be practically built as an electronic circuit and then embedded as a controller.
Moreover, we usually build transfer function blocks, simply in Matlab Simulink. But is it possible, practical, simple, and convenient to build such blocks as an integrated electronic element in a circuit, while they are of high order?
My main question:
There is a controller, with a transfer-function:
H_controller(s)=N(s)/D(s),
Where:
N(s)=b0*s^m+b1*s^(m-1)+b2*s^(m-2)+…+bm,
And:
D(s)=a0*s^n+a1*s^(n-1)+a2*s^(n-2)+…+an.
Moreover, m=10, n=10, or, n=11.
The digested question:
Is it possible, and practical to design an electronic circuitry for a box, with the transfer function: H_box=H_controller(s)=N(s)/D(s)?
Warning: I have no experience to build a real electronic circuitry, and my question is only the possibility and practicality of designing a circuit for such a transfer function box. Do not mind about the performance of the controller or any other stability concern with regard to that. Only the possibility and practicality of designing an electronic box which has an equivalent transfer function: H_box=H_controller(s)=N(s)/D(s).
The box is in feed-forward path.

I want to know that we have a real system with fractional order state space model
I'm studying digital control by myself, and I would like to know if has available on the internet the solutions manual of "Digital Control of Dynamic System 3rd edition"?
For example, the first order Laplacian measures the difference between the local and average values of a quantity in an infinitesimal neighborhood of the point in question. So, for a flexible string, the acceleration is proportional to the Laplacian (wave equation).
For plates, the acceleration is proportional to the double Laplacian. Also, the double Laplacian occurs in the modification of the wave equation for a stiff string. Therefore, what is the double Laplacian a measure of? Thanks.
I only have acces to historical data recorded over the course of a few years. However the data is of a closedloop proces that has already been tuned with PID. The values of P, I and D are known.
How can I determine the openloop transferfunction usign only this data?
Is it theoretically possible, that after discretization by using Talyor Series Expansion, a non-observable nonlinear system will became an observable?
It was proved, that used continuous model of PMSM is non-observable (see attached). I want to know, if resulting discrete system is observable or not. Any comment appreciated. Thanks.
the dc-dc converters has two transfer functions , control to output and line to output TF. which one is used when design a controller? and which one is used to test step response?
I'm a beginner in control engineer, what books or websites you could recommend?
Suppose a six degree of freedom simulation of an aircraft, which some aerodynamic parameters (e.g: stability derivatives), mass configuration (e.g center of mass) and etc, are randomly choose within known bounds. From the Monte Carlo sample those simulations are split in two groups: with instability (any time during the simulation) and without instability during the flight.
My question is, How could I find the more important combination of random parameters the caused the instability in flight?
I have already done a sensitivity analysis, so I have an idea how each one influence individually. What I really one to find is how the combination of parameter is causing the instability.
Hi every one,
here I have a problem in MATLAB, when I want to solve the following equation, relative to PI in the photo, or tau in the code, MATLAB will send me this error: Warning: Unable to find explicit solution. For options, see help.
I attached the question and the code below (in code, I rewrite pi in the photo with tau).
If you have any idea to solve this problem, analytically or numerically, I will be happy to hear it out.
NOTE:
> PI_0.1(X,t) = tau
> X = [x(t),y(t),psi(t)]^T;
** PROBLEM: Find tau in terms of X and t in which solve the mentioned equation.
Thanks in advance,
Arash.
code:
______________________________________
______________________________________
clc;clear;
syms x y psi tau t
c1 = 1;c2 = 1.5;lambda = 0.1;
x_r(tau) = 0.8486*tau - 0.6949;
y_r(tau) = 5.866*sin(0.1257*tau + pi);
psi_r(tau) = 0.7958*sin(0.1257*tau - pi/2);
x_r_dot = 0.8486;
y_r_dot(tau) = 0.7374*cos(0.1257*tau + pi);
psi_r_dot(tau) = 0.1*cos(0.1257*tau - pi/2);
phrase1 = c1/2*(cos(psi)*(x - x_r) + sin(psi)*(y - y_r))*(cos(psi)*x_r_dot + sin(psi)*y_r_dot);
phrase2 = c1/2*(-sin(psi)*(x - x_r) + cos(psi)*(y - y_r))*(-sin(psi)*x_r_dot+cos(psi)*y_r_dot);
phrase3 = 0.5*(psi - psi_r)*psi_r_dot;
eq = -2*(1-lambda)^2*(phrase1 + phrase2 + phrase3) - 2*lambda^2*(t - tau)
sol = solve(eq == 0 , tau , 'IgnoreAnalyticConstraints',1)
______________________________________
______________________________________

I want to know the exact definition of these four tests and I am wondering which of them could work in real time?
I have the nonlinear systems of Khalil, however some definitions are no so clear, is there a newer book with Matlab examples
Hello everybody
Despite a few TMD cost models available in the literature, I am searching for more accurate initial and lifetime cost models of translational TMDs for Life Cycle Cost Analysis (LCCA) of TMD-equipped structures.
In fact, the provided cost model affiliated with one of the companies designs and manufactures transitional TMD (such as LeMessurier CO.), which this model consists TMD initial cost (construction and installation of the TMD) and TMD damage cost (maintenance and repair losses of TMD before structural collapse)
I design feedback close loop system with a robust static feedback controller using Hinf approach where control low is u(t)=Kx(t). What is the good method to show robustness for this type of system? What plots we can make to show robustness for designed system?
Regards
Dear community,
I am trying to build a model of a Furuta pendulum in Simulink/Simscape. Unfortunately, when I try to linearize my model with the integrated Model Linearizer, I get an unexpected result. The evaluation of the linearized system shows, that it is only poorly controllable, although a classic Furuta pendulum should be fully controllable according to literature. Therefore I assume, that there must be something wrong with my model or the way I linearized it but I can´t figure out what it is....
I´d highly appreciate any help on that, as this is bothing me for quite some time now. The model is attached to this post. Furthermore I have attached a screenshot of the linearized system.
My controllability matrix (ctrb(A,B)) then looks like this with rank = 1, which I believe can´t be right...
Controllability matrix =
1.0e+26 *
0 0.0000 0.0000 -0.0000 0.0000
0.0000 0.0000 -0.0000 0.0000 -0.0007
0 0.0000 0.0000 -0.0000 0.0000
0.0000 0.0000 -0.0000 0.0000 -0.0015
0.0000 -0.0000 0.0000 -0.0000 9.2972
Thank you and best regards,
Joo
Hello everyone, I hope you have a good day,
As we all know, the lateral dynamic system of vehicles has two output, lateral error and heading error, and we have one input, which is steering angle, I always have one big problem:
How to Design a Controller to have zero steady-state error, when I have XY reference path?
I designed a controller to track the heading, but when the vehicle gets departed from the path, as it does not have any sense of lateral error, it will not come back to the path, it will just follow the heading with some offset.
I read a lot of papers in this area, but none of them talked about XY reference paths.
I add a photo to clear up some points, please check the attached file.
Thanks in advanced,
Arash

I'm writing my thesis and I am searching for good software to draw control block diagrams!
Any suggestion?
Thank you!
I want to find PID parameters to regulate my system.
I want to know all the things related and necessary which help me in control system field.
Hello everybody
I would like to link two topics, LCCA and BIM, each of which deals with "structural and earthquake engineering" and "construction management" in civil engineering, respectively.
I am trying to investigate on LCCA of a structure equipped with Tuned Mass Dampers (TMDs) based on principles of Performance Based Earthquake Engineering (PBDE) for different seismic hazard levels (this issue is related to structural engineering). So I intend to use BIM to create a more realistic cost model including other costs are related to this topic.
In order to get a better conditioned A matrix, the absolute mean of the eigenvalues of the A matrix should be one (all eigenvalues are between -1 and 1, so within the unit circle and the absolute mean is 0.4389). This could be done by scaling the time.
For the following continuous-time state-space model:
dx/dt = Ax(t) + Bu(t)
y = Cx(t)
the state-space model will look like:
dx/dtau = (1/lambda_avg)*Ax(tau/lambda_avg) + (1/lambda_avg)*Bu(tau/lambda_avg)
y = Cx(tau/lambda_avg)
with
lambda_avg, the absolute mean of the eigenvalues of the A matrix
tau, the new timescale
tau = lambda_avg*t
However, I want to scale the time of a discrete-time state-space model in order to get a better conditioned A matrix:
xi+1|k = Axi|k + Bui|k
yk = Cxk
How could I do that in the same way as for the continuous model?
Hello everybody,
I have observed a bit confusing behavior of my system response (or may be I am missing something).
I have a transfer function in S domain converted to Z domain with a 1kHz sampling frequency at the time of conversion using matlab, When I embed this discrete version of the transfer function to my system which is also sampling on the same frequency of 1kHz. The system works the way as expected (i.e. the step response is the same as that of the s-domain analogue controller).
But if I increase the sampling frequency of my system while using the SAME discrete transfer function that i just converted from s to z domain with a SAME conversion sampling frequency of 1kHz , the step response gets further faster.
My question is that, why the discrete system gets faster response than the analogue one, despite the transfer functions of the analogue controller and the discrete controller are the same.
What I understand, the step response of any transfer function should remain the same in either case (i.e. either the function is in s-domain or in z-domain) the response should be the same ?
Does this mean the digital controllers have the ability to fast the response of the same transfer function by changing the sampling frequency of the system?
It is important, not to confuse the system sampling frequency of my u-controller at which the u-controller is collecting the samples from ADC, with the sampling frequency that I used as a parameter required to convert the s-domain transfer function to z-domain transfer function.
I thank you all for your time.
Regards,
Iftikhar Abid
Would anyone help me to understand the difference between energy signals and power signals (with examples to each of them), and what is the physical intuition behind the relation between the auto-correlation function of a signal and its power spectrum density?
Thank you in advance.
I want to start to work on some stepper motors bipolar with arduino mega and ramps 1.4 but I don't know how to do it. Can anyone explain how to do this?
The specifications are in term of R, L, B, J, kv, kt
The max output force of electromechanical braking system is 3500N
I'd like to know about the best method to defined a fuzzy rule base for fuzzy logic controllers, most of references said experience knowledge is the best way, but what are the other parameters?
What is the typical pitching speed of modern MW turbine blades and do this blades pitch fast enough compared to changing wind speeds?
I have a brushless gimbal motor (with 12N14P windings) whose rotor shaft position is measured by means of a high-resolution absolute optical encoder. (The motor has no hall-sensors)
The amount of current fed through the three field windings are independently controlled by 16-bit DACs. (i.e. not just PWM)
What control algorithm should be used to implement precise position control of this closed-loop system, and what auto-tuning technique should be employed?
I "think" that the 12N14P winding scheme means that one full rotation of the field winding signal produces one 1/14 of a mechanical rotation. (but I could be mistaken).
It is not known what the physical angular offset relationship is between the field windings inside the motor and the zero-datum of the absolute optical encoder attached to the rotor shaft. I suspect that the auto-tuning technique will need to perform an experiment to determine this angular offset if the control algorithm is to be able to produce a field vector that leads the desired position by 90 degrees to achieve maximum torque.
On what parameters the selection of continuation method depends ?
To design a controller for multi-degrees of freedom actuators which type of controller is better (Sliding Mode Controller or Backstepping Controller)?
Where can one get measurement data for ieee 34 bus radial distribution system ?
I am making a small prototype, that consist of small compact size aerostatic bearing with active compensation. I have to control eccentricity of shaft by using active compensation. For this purpose I need a laser sensor to measure shaft eccentricity that varies from 0 to 100um. one possible suggestion is to use laser sensor of omron company but problem is that my current location is china and omron company said it will take you 5 month to receive it. Please suggest me some other possible ways so that I can finish it before time
the coefficient of the plant should satisfy what kind of requirement ? and can you give some exampled?
Hi,
Does someone have any experience of using PSVM for fault detection?
Thank you for the information
Hello,
hoping that you will be in good health,
i have a 7-DOF independent wheel drive electric car model can be linear/nonlinear with longitudinal velocity, lateral velocity, yaw rate and angular rotation of the four wheels as the states of the system. the input to the system is the torque of each wheel .
i already designed a controller linear(LQR)/ nonlinear(SMC) which will turn the car with 90 degree yaw angle.
i want to find the trajectories/conditions that will achieve the control objective in minimum possible time/distance and minimum possible yaw rate, its kind of optimization "i think" can you please suggest any method or technique for doing this problem, or any starting point, i am using MATLAB/SIMULINK for my simulation ....
actually i am following the work done in this paper but they used some other tools for there work.
Dear all;
1: I used SVM to fault detection, now I want to figure out effect of fault in 10 seconds time slot of 60 seconds such that I have a window of data with 10 seconds length like 0-10 seconds,0.005s-10.005 s, 0.01s -10.01s ...60s. and I want to use SVM for each 10 s window of data.
I have some data in excel file which is divided to two parts; upper section is normal data and lower section is fault data and I have 6 features. Entirely I have 24002 data. I wrote a piece of code but I'm not sure if it is correct or not and I want to know how can I correct it? 2:I would like to know how can I divide my data to train and test in for loop for each window?
clc;clear;close all;
T=2001; %length of data in 10s (Window Size)
X=xlsread('Book4');
K=(0.5*length(X))-T+1 % Number of repetitions
window=zeros(2*T,6);
for i=1:K
window=[X(i:i+T-1);X(i+12001:i+12001+T-1,:)];
%% Data Normalaization
m=length(window);
Mean_data=repmat(mean(window),m,1);
Std_data=repmat(std(window),m,1);
data_norm=(window-Mean_data)./(Std_data);
end
I'll appreciate your help.
Sir,
I am unable to solve second ramp response. I need the derivation with partial fraction.
Thank you
OpenDSS is a wonderful package, but it is not suitable for simulating some special features of railway traction network, it would be fantastic to have something similar related to Railway power systems. What do you think?
I have designed a controller using Integrator backstepping method and that controller is based on Lyapunov Theory. I have a question How I can check stability of resulting controller?
I want to know if there is any system that needs to operate