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Nonlinear Control Systems Using Matlab


Nonlinear Control Systems Using Matlab
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Nonlinear Control Systems Using Matlab


Nonlinear Control Systems Using Matlab
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Author : Mourad Boufadene
language : en
Publisher: CRC Press
Release Date : 2018-09-24

Nonlinear Control Systems Using Matlab written by Mourad Boufadene and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-24 with Computers categories.


The development of computer software for nonlinear control systems has provided many benefits for teaching, research, and the development of control systems design. MATLAB is considered the dominant software platforms for linear and nonlinear control systems analysis. This book provides an easy way to learn nonlinear control systems such as feedback linearization technique and Sliding mode control (Structure variable control) which are one of the most used techniques in nonlinear control dynamical systems; therefore teachers-students and researchers are all in need to handle such techniques; and since they are too difficult for them to handle such nonlinear controllers especially for a more complicated systems such as induction motor, satellite, and vehicles dynamical models. Thus, this document it is an excellent resource for learning the principle of feedback linearization and sliding mode techniques in an easy and simple way: Provides a briefs description of the feedback linearization and sliding mode control strategies Includes a simple method on how to determine the right and appropriate controller (P-PI-PID) for feedback linearization control strategy. A Symbolic MATLAB Based function for finding the feedback linearization and sliding mode controllers are developed and tested using several examples. A simple method for finding the approximate sliding mode controller parameters is introduced Where the program used to construct the nonlinear controller uses symbolic computations; such that the user should provide the program with the necessary functions f(x), g(x) and h(x) using the symbolic library.



Nonlinear Control System Using Matlab


Nonlinear Control System Using Matlab
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Author : Mourad Boufadene
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-10-27

Nonlinear Control System Using Matlab written by Mourad Boufadene and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-27 with categories.


This text provides an easy way to learn feedback linearization technique which is one of the most used technique in nonlinear control dynamical systems; therefore teachers-students and researchers are all in need to handle such technique; and since it is too difficult for them to handle such nonlinear controller especially for those which are more complicated such as induction motor, satellite, and vehicles dynamical models. Thus, this document it is an excellent resource for learning the principle of feedback linearization technique in the easy and simple way: 1. Provides a briefs description of the feedback linearization technique 2. Includes a simple method on how to determine the right and appropriate controller (P-PI-PID) 3. Provides a Matlab symbolic based program that can solve the Lie derivative of any nonlinear dynamical system that could be written in a special form 4. A Matlab symbolic script that can provide the users with the feedback linearization controller The relative degree of the system which can be found using the provided Matlab code; can be used to determine the degree of the Sliding Mode Surface; which is a very important scalar for those who are working with Variable Structure Control There are many examples used in the last chapter with a modified Matlab program such as: 1. Aircraft dynamical model is used in the case of single input single output linear systems 2. Induction motor dynamical model is used to construct the nonlinear controller for the case of multi-input multi-output nonlinear systems Where the program used to construct the nonlinear controller uses symbolic computations; such that the user should provide the program with the necessary functions f(x), g(x) and h(x) using the symbolic library. Note: Make sure the function syms is existed on your Matlab by type help sysm on Matlab



Nonlinear Control Systems


Nonlinear Control Systems
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Author : Zoran Vukic
language : en
Publisher: CRC Press
Release Date : 2003-02-04

Nonlinear Control Systems written by Zoran Vukic and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-02-04 with Technology & Engineering categories.


This text emphasizes classical methods and presents essential analytical tools and strategies for the construction and development of improved design methods in nonlinear control. It offers engineering procedures for the frequency domain, as well as solved examples for clear understanding of control applications in the industrial, electrical, process, manufacturing, and automotive industries. The authors discuss Properties of nonlinear systems, stability, linearization methods, operating modes and dynamic analysis methods, phase trajectories in dynamic analysis of nonlinear systems, and harmonic linearization in dynamic analysis of nonlinear control systems operating in stabilization mode.



Modeling And Simulation Of Systems Using Matlab And Simulink


Modeling And Simulation Of Systems Using Matlab And Simulink
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Author : Devendra K. Chaturvedi
language : en
Publisher: CRC Press
Release Date : 2017-12-19

Modeling And Simulation Of Systems Using Matlab And Simulink written by Devendra K. Chaturvedi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Computers categories.


Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB® and Simulink® provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented. After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling. Preparing both undergraduate and graduate students for advanced modeling and simulation courses, this text helps them carry out effective simulation studies. In addition, graduate students should be able to comprehend and conduct simulation research after completing this book.



Nonlinear Control System Using Matlab


Nonlinear Control System Using Matlab
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Author : Mourad Boufadene
language : en
Publisher:
Release Date : 2017-06-29

Nonlinear Control System Using Matlab written by Mourad Boufadene and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-29 with categories.


This text provides an easy way to learn feedback linearization technique which is one of the most used technique in nonlinear control dynamical systems; therefore teachers-students and researchers are all in need to handle such technique; and since it is too difficult for them to handle such nonlinear controller especially for those which are more complicated such as induction motor, satellite, and vehicles dynamical models. Thus, this document it is an excellent resource for learning the principle of feedback linearization technique in the easy and simple way:1. Provides a briefs description of the feedback linearization technique2. Includes a simple method on how to determine the right and appropriate controller (P-PI-PID)3. Provides a Matlab symbolic based program that can solve the Lie derivative of any nonlinear dynamical system that could be written in a special form4. A Matlab symbolic script that can provide the users with the feedback linearization controller The relative degree of the system which can be found using the provided Matlab code; can be used to determine the degree of the Sliding Mode Surface; which is a very important scalar for those who are working with Variable Structure Control



Analysis And Design Of Control Systems Using Matlab


Analysis And Design Of Control Systems Using Matlab
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Author : Rao V. Dukkipati
language : en
Publisher: New Age International
Release Date : 2006

Analysis And Design Of Control Systems Using Matlab written by Rao V. Dukkipati and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Automatic control categories.




Advances And Applications In Nonlinear Control Systems


Advances And Applications In Nonlinear Control Systems
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Author : Sundarapandian Vaidyanathan
language : en
Publisher: Springer
Release Date : 2016-03-17

Advances And Applications In Nonlinear Control Systems written by Sundarapandian Vaidyanathan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-17 with Technology & Engineering categories.


The book reports on the latest advances and applications of nonlinear control systems. It consists of 30 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of nonlinear control systems such as robotics, nonlinear circuits, power systems, memristors, underwater vehicles, chemical processes, observer design, output regulation, backstepping control, sliding mode control, time-delayed control, variables structure control, robust adaptive control, fuzzy logic control, chaos, hyperchaos, jerk systems, hyperjerk systems, chaos control, chaos synchronization, etc. Special importance was given to chapters offering practical solutions, modeling and novel control methods for the recent research problems in nonlinear control systems. This book will serve as a reference book for graduate students and researchers with a basic knowledge of electrical and control systems engineering. The resulting design procedures on the nonlinear control systems are emphasized using MATLAB software.



Nonlinear Control Systems 2004


Nonlinear Control Systems 2004
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Author : Frank Allgower
language : en
Publisher: Elsevier
Release Date : 2005-02-02

Nonlinear Control Systems 2004 written by Frank Allgower and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-02 with Science categories.




Soft Computing Based Nonlinear Control Systems Design


Soft Computing Based Nonlinear Control Systems Design
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Author : Singh, Uday Pratap
language : en
Publisher: IGI Global
Release Date : 2018-02-09

Soft Computing Based Nonlinear Control Systems Design written by Singh, Uday Pratap and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-09 with Computers categories.


A critical part of ensuring that systems are advancing alongside technology without complications is problem solving. Practical applications of problem-solving theories can model conflict and cooperation and aid in creating solutions to real-world problems. Soft-Computing-Based Nonlinear Control Systems Design is a critical scholarly publication that examines the practical applications of control theory and its applications in problem solving to fields including economics, environmental management, and financial modelling. Featuring a wide range of topics, such as fuzzy logic, nature-inspired algorithms, and cloud computing, this book is geared toward academicians, researchers, and students seeking relevant research on control theory and its practical applications.



Nonlinear Control Feedback Linearization Sliding Mode Control


Nonlinear Control Feedback Linearization Sliding Mode Control
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Author : Mourad Boufadene
language : en
Publisher: Mourad Boufadene
Release Date : 2024-03-06

Nonlinear Control Feedback Linearization Sliding Mode Control written by Mourad Boufadene and has been published by Mourad Boufadene this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-06 with Education categories.


" This book introduces nonlinear control systems for control engineering and science to graduate, undergraduate students and researchers; it targets control engineering students who do not like to do not have time to derive and prove mathematical results for nonlinear control systems. It can be serve as a text book for nonlinear control systems, especially for feedback linearization techniques which is a common approach in controlling nonlinear systems. The development of computer software for nonlinear control systems has provided many benefits for teaching, research, and the development of control systems design. MATLAB is considered the dominant software platforms for linear and nonlinear control systems analysis. This book contains a MATLAB based program that helps teachers, students, and researchers with an easy to use for finding feedback linearization controller for a specific nonlinear class of systems Chapter (1) is an introduction to theoretical aspects of nonlinear feedback linearization techniques. We sue a simple and complex examples to better illustrate the method on how to find the feedback linearization controller for single and multi input output systems. In section (1.9) A MATLAB based program is developed and use to find feedback linearization control using symbolic MATLAB libraries for a special class of nonlinear systems Chapter (2), the concept of structure variable control will be introduced in intuitive way, with illustrative examples that makes the reader familiar with the theory of sliding mode control in an easy and simple way. After having defined the control law, the parameters of the controller should be identified, hence a simple method is presented to find those parameters. In section (2.4) A MATLAB based function is developed to find the sliding mode surfaces and controllers using symbolic MATLAB library for SISO and MIMO nonlinear dynamical systems that could be written in a special form. This textbook provides an easy way to learn nonlinear control systems such as feedback linearization technique and slidng mode control (Structrue varibale control) which are one of the most used techniques in nonlinear control dynamical systems; therefore teachers-students and 2 researchers are all in need to handle such techniques; and since they are too difficult for them to handle such nonlinear controllers especially for a more complicated systems such as induction motor, satellite, and vehicles dynamical models. Thus, this document it is an excellent resource for learning the principle of feedback linearization and sliding mode techniques in an easy and simple way: (a) Provides a briefs description of the feedback linearization and sliding mode control strategies (b) Includes a simple method on how to determine the right and appropriate controller (P-PI-PID) for feedback linearization control strategy. (c) Provides a MATLAB symbolic based programs that can solve the Lie derivative of any nonlinear dynamical system that could be written in a special form (d) A Symbolic Matlab Based function for finding the feedback linearization and sliding mode controllers are developed and tested using several examples. (e) A simple method for finding the approximate sliding mode controller parameters is introduced "