description:
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Autorenportrait:
Robert L. Williams II is a professor in the Department of Mechanical Engineering, Ohio University.
Douglas A. Lawrence is an associate professor at the School of Electrical and Computer Engineering, Ohio University.
Kurzbeschreibung:
Master the theory and practice of linear state-space control systems design
With a strong emphasis on practical aspects, here is a comprehensive introduction to state-space methods for the analysis and design of linear control systems, ideal for practicing engineers and researchers as well as students preparing for advanced study in systems and control theory.
Beginning with a concise introduction to state-space methods, Linear State-Space Control Systems provides readers with a solid foundation in linear systems and control theory, all grounded in the real world by examples and exercises taken from practical applications. A strength of the text is its rigorous mathematical treatment of the fundamental concepts and theoretical results, supported by a chapter-by-chapter tutorial on the use of the popular software package MATLAB and the associated Control Systems Toolbox for computer-aided control system analysis and design.
Chapters discuss:
* State-space fundamentals
* Controllability
* Observability
* Minimal Realizations
* Stability
* The design of linear state feedback control laws
* Observers and observer-based feedback control laws
* Optimal control
Highly readable and accessible, this unique combination of control theory and practical applications will bring both students (advanced undergraduates and graduate students) and practicing professionals up to speed on a field that is seeing growing importance in engineering today.
Inhaltsverzeichnis:
Preface.
Chapter 1. Introduction.
Chapter 2. State-Space Fundamentals.
Chapter 3. Controllability.
Chapter 4. Observability.
Chapter 5. Minimal Realizations.
Chapter 6. Stability.
Chapter 7. Design of Linear State Feedback Control Laws.
Chapter 8. Observers and Observer-Based Compensators.
Chapter 9. Introduction To Optimal Control.
References.
Appendix A. Matrix Introduction.
Appendix B. Linear Algebra.
Appendix C. Continuing MATLAB Example m-File.
References.
Index.
