Soft Computing for Control of Non-Linear Dynamical Systems
Soft Computing for Control of Non-Linear Dynamical Systems

Author: Oscar Castillo

Publisher: Physica

Published: 2012-12-06

Total Pages: 231

ISBN-13: 3790818321

DOWNLOAD EBOOK

This book presents a unified view of modelling, simulation, and control of non linear dynamical systems using soft computing techniques and fractal theory. Our particular point of view is that modelling, simulation, and control are problems that cannot be considered apart, because they are intrinsically related in real world applications. Control of non-linear dynamical systems cannot be achieved if we don't have the appropriate model for the system. On the other hand, we know that complex non-linear dynamical systems can exhibit a wide range of dynamic behaviors ( ranging from simple periodic orbits to chaotic strange attractors), so the problem of simulation and behavior identification is a very important one. Also, we want to automate each of these tasks because in this way it is more easy to solve a particular problem. A real world problem may require that we use modelling, simulation, and control, to achieve the desired level of performance needed for the particular application.

Modelling, Simulation and Control of Non-linear Dynamical Systems
Modelling, Simulation and Control of Non-linear Dynamical Systems

Author: Patricia Melin

Publisher: CRC Press

Published: 2001-10-25

Total Pages: 262

ISBN-13: 1420024523

DOWNLOAD EBOOK

These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming la

Modelling, Simulation and Control of Non-linear Dynamical Systems
Modelling, Simulation and Control of Non-linear Dynamical Systems

Author: Patricia Melin

Publisher: CRC Press

Published: 2001-10-25

Total Pages: 161

ISBN-13: 1000611965

DOWNLOAD EBOOK

These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming la

Backstepping Control of Nonlinear Dynamical Systems
Backstepping Control of Nonlinear Dynamical Systems

Author: Sundarapandian Vaidyanathan

Publisher: Academic Press

Published: 2020-08-15

Total Pages: 542

ISBN-13: 0128175834

DOWNLOAD EBOOK

Backstepping Control of Nonlinear Dynamical Systems addresses both the fundamentals of backstepping control and advances in the field. The latest techniques explored include 'active backstepping control', 'adaptive backstepping control', 'fuzzy backstepping control' and 'adaptive fuzzy backstepping control'. The reference book provides numerous simulations using MATLAB and circuit design. These illustrate the main results of theory and applications of backstepping control of nonlinear control systems. Backstepping control encompasses varied aspects of mechanical engineering and has many different applications within the field. For example, the book covers aspects related to robot manipulators, aircraft flight control systems, power systems, mechanical systems, biological systems and chaotic systems. This multifaceted view of subject areas means that this useful reference resource will be ideal for a large cross section of the mechanical engineering community. - Details the real-world applications of backstepping control - Gives an up-to-date insight into the theory, uses and application of backstepping control - Bridges the gaps for different fields of engineering, including mechanical engineering, aeronautical engineering, electrical engineering, communications engineering, robotics and biomedical instrumentation

Soft Computing and Industry
Soft Computing and Industry

Author: Rajkumar Roy

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 862

ISBN-13: 1447101235

DOWNLOAD EBOOK

Soft computing embraces various methodologies for the development of intelligent systems that have been successfully applied to a large number of real-world problems. Soft Computing in Industry contains a collection of papers that were presented at the 6th On-line World Conference on Soft Computing in Industrial Applications that was held in September 2001. It provides a comprehensive overview of recent theoretical developments in soft computing as well as of successful industrial applications. It is divided into seven parts covering material on: keynote papers on various subjects ranging from computing with autopoietic systems to the effects of the Internet on education; intelligent control; classification, clustering and optimization; image and signal processing; agents, multimedia and Internet; theoretical advances; prediction, design and diagnosis. The book is aimed at researchers and professional engineers who develop and apply intelligent systems in computer engineering.

Soft Computing
Soft Computing

Author: Luigi Fortuna

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 275

ISBN-13: 1447103572

DOWNLOAD EBOOK

The book presents a clear understanding of a new type of computation system, the Cellular Neural Network (CNN), which has been successfully applied to the solution of many heavy computation problems, mainly in the fields of image processing and complex partial differential equations. The text describes how CNN will improve the soft-computation toolbox, and examines the many applications of soft computing to complex systems.

Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems
Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems

Author: Marcin Witczak

Publisher: Springer Science & Business Media

Published: 2007-04-05

Total Pages: 214

ISBN-13: 3540711147

DOWNLOAD EBOOK

This monograph presents a variety of techniques that can be used for designing robust fault diagnosis schemes for non-linear systems. The introductory part of the book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. Subsequently, advanced robust observer structures are presented. Parameter estimation based techniques are discussed as well. A particular attention is drawn to experimental design for fault diagnosis. The book also presents a number of robust soft computing approaches utilizing evolutionary algorithms and neural networks. All approaches described in this book are illustrated by practical applications.

Nonlinear and Optimal Control Systems
Nonlinear and Optimal Control Systems

Author: Thomas L. Vincent

Publisher: John Wiley & Sons

Published: 1997-06-23

Total Pages: 584

ISBN-13: 9780471042358

DOWNLOAD EBOOK

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.

Nonlinear Systems
Nonlinear Systems

Author: Shankar Sastry

Publisher: Springer Science & Business Media

Published: 2013-04-18

Total Pages: 690

ISBN-13: 1475731086

DOWNLOAD EBOOK

There has been much excitement over the emergence of new mathematical techniques for the analysis and control of nonlinear systems. In addition, great technological advances have bolstered the impact of analytic advances and produced many new problems and applications which are nonlinear in an essential way. This book lays out in a concise mathematical framework the tools and methods of analysis which underlie this diversity of applications.

Nonlinear Control Systems using MATLAB®
Nonlinear Control Systems using MATLAB®

Author: Mourad Boufadene

Publisher: CRC Press

Published: 2018-09-24

Total Pages: 57

ISBN-13: 0429781342

DOWNLOAD EBOOK

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.