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Systems and Control (Engineering and Technology)
Product Description Systems and Control presents modeling, analysis, and control of dynamical systems. Introducing students to the basics of dynamical system theory and supplying 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 postmodern control engineering are presented in a unified fashion, demonstrating how the current tools of a control engineer can supplement more classical tools. Broad in scope, Systems and Control shows the multidisciplinary role of dynamics and control; 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 nonlinear systems and modern automatic control. It requires working knowledge of basic differential equations and elements of linear algebra; a review of the necessary mathematical techniques and terminology is provided. About The Author Stanislaw H. Zak is Professor of Electrical and Computer Engineering at Purdue. He has worked in various areas of control, optimization, and neural networks. He is coauthor of Selected Methods of Analysis of Linear Dynamical Systems (1984, in Polish) and An Introduction to Optimization, 2/e (2001). Dr. Zak has also contributed to the Comprehensive Dictionary of Electrical Engineering (1999) and is a past associate editor of Dynamics and Control and the IEEE Transactions on Neural Networks. Reader Reviews This book covers a wide area of topics in systems and control theory and applications. In addition to the analysis of stability and optimal control in linear and nonlinear systems, the text provides a very good introduction to fuzzy systems, neural networks, genetic algorithms and chaotic systems. As the author states, the scope of the topics presented tries to emphasize the multidisciplinary role of nonlinear dynamics and control. By providing examples where the techniques of fuzzy logic, genetic algorithms and neural networks are used in real life control problems, it is shown how these new approaches complement the classical ones. To this end, Lyapunov's stability theory is employed as the common medium of analysis. This type of presentation facilitates a deeper understanding of the material by bringing the focus of different areas in the context of control and stability problem. The book is well suited for senior or graduate course work and its comprehensive nature makes it also an excellent reference text for people who are interested in dynamical systems and control theory. A basic knowledge of linear algebra and calculus would be sufficient to understand most of the material covered and a brief mathematical background review is provided in the appendix. The fundamental concepts and how they relate to each other are clearly presented. The detailed worked out examples, taken mostly from literature or practical applications, form an integral part of the book and in some cases, used as a means to illustrate the theory itself. Many exercises, some involving software projects in MATLAB, are also provided at the end of each chapter. This text offers a thorough and practical treatment of systems and control and provides a solid foundation for anyone in the field and is highly recommended. Comment | | (Report this)
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