Nonlinear Control System Using Matlab
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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.
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 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 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.
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.
Robust Observer Based Fault Diagnosis For Nonlinear Systems Using Matlab
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Author : Jian Zhang
language : en
Publisher: Springer
Release Date : 2016-05-27
Robust Observer Based Fault Diagnosis For Nonlinear Systems Using Matlab written by Jian Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-27 with Technology & Engineering categories.
This book introduces several observer-based methods, including: • the sliding-mode observer • the adaptive observer • the unknown-input observer and • the descriptor observer method for the problem of fault detection, isolation and estimation, allowing readers to compare and contrast the different approaches. The authors present basic material on Lyapunov stability theory, H¥ control theory, sliding-mode control theory and linear matrix inequality problems in a self-contained and step-by-step manner. Detailed and rigorous mathematical proofs are provided for all the results developed in the text so that readers can quickly gain a good understanding of the material. MATLAB® and Simulink® codes for all the examples, which can be downloaded from http://extras.springer.com, enable students to follow the methods and illustrative examples easily. The systems used in the examples make the book highly relevant to real-world problems in industrial control engineering and include a seventh-order aircraft model, a single-link flexible joint robot arm and a satellite controller. To help readers quickly find the information they need and to improve readability, the individual chapters are written so as to be semi-independent of each other. Robust Oberserver-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® is of interest to process, aerospace, robotics and control engineers, engineering students and researchers with a control engineering background.
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 And Optimal Control Systems
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Author : Thomas L. Vincent
language : en
Publisher: John Wiley & Sons
Release Date : 1997-06-23
Nonlinear And Optimal Control Systems written by Thomas L. Vincent and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-06-23 with Science categories.
Designed for one-semester introductory senior-or graduate-level course, the authors provide the student with an introduction of analysis techniques used in the design of nonlinear and optimal feedback control systems. There is special emphasis on the fundamental topics of stability, controllability, and optimality, and on the corresponding geometry associated with these topics. Each chapter contains several examples and a variety of exercises.
Pid Control System Design And Automatic Tuning Using Matlab Simulink
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Author : Liuping Wang
language : en
Publisher: John Wiley & Sons
Release Date : 2020-04-20
Pid Control System Design And Automatic Tuning Using Matlab Simulink written by Liuping Wang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-20 with Science categories.
Covers PID control systems from the very basics to the advanced topics This book covers the design, implementation and automatic tuning of PID control systems with operational constraints. It provides students, researchers, and industrial practitioners with everything they need to know about PID control systems—from classical tuning rules and model-based design to constraints, automatic tuning, cascade control, and gain scheduled control. PID Control System Design and Automatic Tuning using MATLAB/Simulink introduces PID control system structures, sensitivity analysis, PID control design, implementation with constraints, disturbance observer-based PID control, gain scheduled PID control systems, cascade PID control systems, PID control design for complex systems, automatic tuning and applications of PID control to unmanned aerial vehicles. It also presents resonant control systems relevant to many engineering applications. The implementation of PID control and resonant control highlights how to deal with operational constraints. Provides unique coverage of PID Control of unmanned aerial vehicles (UAVs), including mathematical models of multi-rotor UAVs, control strategies of UAVs, and automatic tuning of PID controllers for UAVs Provides detailed descriptions of automatic tuning of PID control systems, including relay feedback control systems, frequency response estimation, Monte-Carlo simulation studies, PID controller design using frequency domain information, and MATLAB/Simulink simulation and implementation programs for automatic tuning Includes 15 MATLAB/Simulink tutorials, in a step-by-step manner, to illustrate the design, simulation, implementation and automatic tuning of PID control systems Assists lecturers, teaching assistants, students, and other readers to learn PID control with constraints and apply the control theory to various areas. Accompanying website includes lecture slides and MATLAB/ Simulink programs PID Control System Design and Automatic Tuning using MATLAB/Simulink is intended for undergraduate electrical, chemical, mechanical, and aerospace engineering students, and will greatly benefit postgraduate students, researchers, and industrial personnel who work with control systems and their applications.
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.