Robust control design: an optimal control approach

Feng Lin0470031913, 9780470031919, 9780470059562

Comprehensive and accessible guide to the three main approaches to robust control design and its applications
Optimal control is a mathematical field that is concerned with control policies that can be deduced using optimization algorithms. The optimal control approach to robust control design differs from conventional direct approaches to robust control that are more commonly discussed by firstly translating the robust control problem into its optimal control counterpart, and then solving the optimal control problem.
Robust Control Design: An Optimal Control Approach offers a complete presentation of this approach to robust control design, presenting modern control theory in an concise manner. The other two major approaches to robust control design, the H_infinite approach and the Kharitonov approach, are also covered  and described in the simplest terms possible, in order to provide a complete overview of the area. It includes up-to-date research, and offers both theoretical and practical applications that include flexible structures, robotics, and automotive and aircraft control.
Robust Control Design: An Optimal Control Approach will be of interest to those needing an introductory textbook on robust control theory, design and applications as well as graduate and postgraduate students involved in systems and control research. Practitioners will also find the applications presented useful when solving practical problems in the engineering field.

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Table of contents :
Robust Control Design……Page 1
Contents……Page 7
Preface……Page 11
Notation……Page 13
1. Introduction……Page 15
2. Fundamentals of ControlTheory……Page 29
4. Optimal Control and OptimalObservers……Page 115
5. Robust Control of LinearSystems……Page 147
6. Robust Control of NonlinearSystems……Page 187
7. Kharitonov Approach……Page 227
8. H and H2 Control……Page 253
9. Robust Active Damping……Page 291
10. Robust Control ofManipulators……Page 311
11. Aircraft Hovering Control……Page 331
Appendix A: MathematicalModelling of Physical Systems……Page 353
References and Bibliography……Page 365
Index……Page 377