Systems and Control (Hardcover)

Systems and Control covers modeling, analysis, and control of dynamical systems. It acquaints students with the basics of dynamical system theory and also equips them with the tools necessary for control system design. It emphasizes design and demonstrates how dynamical system theory fits into practical applications. Classical methods and the techniques of post-modern control engineering are presented in a unified fashion, showing how the current tools of a control engineer supplement more classical tools.

Broad in scope, Systems and Control shows the multidisciplinary role of dynamics and control. It presents neural networks, fuzzy systems, and genetic algorithms and provides a self-contained introduction to chaotic systems. The text employs Lyapunov's stability theory as a unifying medium for different types of dynamical systems, using it--with its variants--to analyze dynamical system models. Specifically, optimal, fuzzy, sliding mode, and chaotic controllers are all constructed with the aid of the Lyapunov method and its extensions. In addition, a class of neural networks is also analyzed using Lyapunov's method.

Ideal for advanced undergraduate and beginning graduate courses in systems and control, this text can also be used for introductory courses in non-linear systems and modern automatic control. It requires previous knowledge of basic differential equations and elements of linear algebra and provides a review of the necessary mathematical techniques and terminology

CONTENTS

Each chapter ends with Notes and Exercises
1. Dynamical Systems and Modeling
2. Analysis of Modeling Equations
3. Linear Systems
4. Stability
5. Optimal Control
6. Sliding Modes
7. Vector Field Methods
8. Fuzzy Systems
9. Neural Networks
10. Genetic and Evolutionary Algorithms
11. Chaotic Systems and Fractals
Appendix: Math Review
Notes
Exercises
Bibliography
Index

《系統與控制》涵蓋了動態系統的建模、分析和控制。它使學生熟悉動態系統理論的基礎知識，並為控制系統設計提供必要的工具。該書強調設計並展示了動態系統理論如何應用於實際應用中。它以統一的方式介紹了傳統方法和後現代控制工程的技術，展示了控制工程師現有工具如何補充傳統工具。

《系統與控制》的範圍廣泛，展示了動態和控制的多學科角色。它介紹了神經網絡、模糊系統和遺傳算法，並提供了混沌系統的自包含介紹。該書使用李雅普諾夫穩定性理論作為不同類型動態系統的統一媒介，利用它及其變體來分析動態系統模型。具體而言，最優、模糊、滑模和混沌控制器都是在李雅普諾夫方法及其擴展的幫助下構建的。此外，該書還使用李雅普諾夫方法分析了一類神經網絡。

這本書非常適合高年級本科生和初級研究生的系統與控制課程，也可用於非線性系統和現代自動控制的入門課程。它要求學生具備基本微分方程和線性代數的知識，並提供了必要的數學技巧和術語的複習。

《內容》
每章結束時附有註解和練習題
1. 動態系統和建模
2. 建模方程的分析
3. 線性系統
4. 穩定性
5. 最優控制
6. 滑模控制
7. 向量場方法
8. 模糊系統
9. 神經網絡
10. 遺傳和演化算法
11. 混沌系統和分形
附錄：數學複習
註解
練習題
參考文獻
索引