This unique graduate text provides broad and systematic coverage of linear multivariable control systems, including several new approaches to design. Supported by MATLAB and SIMULINK examples and end-of-chapter problems, it is ideal for the first two graduate courses on the subject in aerospace, electrical and mechanical engineering.
This unique graduate text provides broad and systematic coverage of linear multivariable control systems, including several new approaches to design. Supported by MATLAB and SIMULINK examples and end-of-chapter problems, it is ideal for the first two graduate courses on the subject in aerospace, electrical and mechanical engineering.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Shankar P. Bhattacharyya is a professor of Electrical Engineering at Texas A&M University. He is a Fellow of the IEEE and IFAC, and a Foreign Member of The Brazilian Academy of Sciences and The Brazilian National Academy of Engineering. His contributions to control theory include the first solution of the multivariable servomechanism problem, an algorithm for eigenvalue assignment, robustness and fragility, and a modern analytical approach to the design of PID controllers.
Inhaltsangabe
Preface 1. A measurement-based approach to linear systems 2. Classical control theory: a brief overview 3. The [A,B,C,D] state variable model 4. Modal structure of state space systems 5. Controllability, observability and realization theory 6. State feedback, observers and regulators 7. The optimal linear quadratic regulator 8. H¥ and H2 optimal control 9. The linear multivariable servomechanism 10. Robustness and fragility of control systems 11. Analytical design of PID controllers 12. Multivariable control using single input single output methods Appendix References Index.
Preface 1. A measurement-based approach to linear systems 2. Classical control theory: a brief overview 3. The [A,B,C,D] state variable model 4. Modal structure of state space systems 5. Controllability, observability and realization theory 6. State feedback, observers and regulators 7. The optimal linear quadratic regulator 8. H¥ and H2 optimal control 9. The linear multivariable servomechanism 10. Robustness and fragility of control systems 11. Analytical design of PID controllers 12. Multivariable control using single input single output methods Appendix References Index.
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