This book presents a synthesized design principle versus the existing separation principle of modern control theory of over six decades since the start. Guided by this new principle, a generalized state feedback control can be designed based on the parameters of observer and for a great majority of plant systems, and the robust property of this control can be fully realized. The robust property of the existing state feedback control which is designed separate from the parameters of its realizing observer, cannot be realized for a great majority of plant systems.
By freely design and adjust the observer order, the corresponding generalized state feedback control can unify completely the existing state feedback control and static output feedback control, and can adjust effectively the tradeoff between performance and robustness. This generalized state feedback control can assign eigen-structure, and can improve performance and robustness far more effectively than the control designed using classical control theory.
Equally significant, the results of this book are very simple that can be comprehended and grasped very easily. These results are introduced and illustrated from the basic level, and use only the basic mathematical tools. Ample examples and exercise problems that can be solved by hand computation, are provided. This third edition made substantial improvement on this aspect. Modern control theoreticians only formulated the feedback control design problem in various ways, the point however is to really solve this problem.
This book presents a synthesized design principle versus the existing separation principle of modern control theory of over six decades since the start. Guided by this new principle, a generalized state feedback control can be designed based on the parameters of observer and for a great majority of plant systems.
1. System Mathematical Models and Basic Properties.
2. Single-System
Performance and Sensitivity.
3. Feedback System Sensitivity.
4. A New
Feedback Control Design Principle and Approach.
5. Computation of the
Solution of Matrix Equation TA FT = LC.
6. Observer Design 1: For
Robustness Realization.
7. Observer Design 2: For Other Special Purposes.
8.
Feedback Control Design for Eigenvalue (Pole) Assignment.
9. Feedback Control
Design for Eigenvector Assignment.
10. Feedback Control Design for Quadratic
Optimal Control. Appendix A: Relevant Linear Algebra and Numerical Linear
Algebra. Appendix B: Real Design Projects and Problems. References. Index.
Chia-Chi Tsui was born in 1953, Shanghai, China. He worked at a state farm in northeast China between 1969 and 1975. He received Bachelor of Computer Science degree from Concordia University, Montreal, Canada in 1979. He received his Masters and Ph. D. degrees from Electrical Engineering Department, State University of New York at Stony Brook in 1980 and 1983, respectively. He has held teaching positions at Northeastern University, City University of New York Staten Island College, and DeVry University New York. His research interest is linear feedback control system design, including robust control design.
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