Stabilization Problems with Constraints: Analysis and Computational Aspects

Presents and demonstrates stabilizer design techniques that can be used to solve stabilization problems with constraints. These methods have their origins in convex programming and stability theory. However, to provide a practical capability in stabilizer design, the methods are tailored to the special features and needs of this field. Hence, the main emphasis of this book is on the methods of stabilization, rather than optimization and stability theory.
The text is divided into three parts. Part I contains some background material. Part II is devoted to behavior of control systems, taking examples from mechanics to illustrate the theory. Finally, Part III deals with nonlocal stabilization problems, including a study of the global stabilization problem.

1113114656
Stabilization Problems with Constraints: Analysis and Computational Aspects

Presents and demonstrates stabilizer design techniques that can be used to solve stabilization problems with constraints. These methods have their origins in convex programming and stability theory. However, to provide a practical capability in stabilizer design, the methods are tailored to the special features and needs of this field. Hence, the main emphasis of this book is on the methods of stabilization, rather than optimization and stability theory.
The text is divided into three parts. Part I contains some background material. Part II is devoted to behavior of control systems, taking examples from mechanics to illustrate the theory. Finally, Part III deals with nonlocal stabilization problems, including a study of the global stabilization problem.

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Stabilization Problems with Constraints: Analysis and Computational Aspects

Stabilization Problems with Constraints: Analysis and Computational Aspects

Stabilization Problems with Constraints: Analysis and Computational Aspects

Stabilization Problems with Constraints: Analysis and Computational Aspects

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Overview

Presents and demonstrates stabilizer design techniques that can be used to solve stabilization problems with constraints. These methods have their origins in convex programming and stability theory. However, to provide a practical capability in stabilizer design, the methods are tailored to the special features and needs of this field. Hence, the main emphasis of this book is on the methods of stabilization, rather than optimization and stability theory.
The text is divided into three parts. Part I contains some background material. Part II is devoted to behavior of control systems, taking examples from mechanics to illustrate the theory. Finally, Part III deals with nonlocal stabilization problems, including a study of the global stabilization problem.


Product Details

ISBN-13: 9781000673180
Publisher: CRC Press
Publication date: 12/24/2021
Sold by: Barnes & Noble
Format: eBook
Pages: 302
File size: 2 MB

About the Author

Vladimir A Bushenkov (Author) , Georgi V Smirnov (Author)

Table of Contents

PART I - Foundations: Convex Analysis 1. Differential Equations and Control Systems 2. Computational Methods of Convex Analysis PART II - Local Stabilization Problems: Stabilization Problem 1. Controllable Linear Systems 2. Unilateral Stabilization PART III - Nonlocal Stabilization Problems: Stabilization to Sets 1. Global Stabilization Problem 2. Stabilization of Uncertain Systems
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