Prentice Hall
Engineering
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Robust and Optimal Control
ISBN-10: 0134565673
ISBN-13: 9780134565675
Publisher: Prentice Hall
Copyright: 1996
Format: Paper; 596 pp
Published: 08/07/1995
Status: Instock
For graduate—level courses and for professional reference dealing with robust linear control, multivariable design and H…à Control. Assumes prior knowledge of feedback and control systems and linear systems theory. Also appropriate for practicing engineers familiar with modern control techniques.
Class-tested at major institutions around the world and regarded as an “instant classic” by reviewers, this work offers the most complete coverage of robust and H…à control available. The clarity of the overall methodology: how one sets a problem up, introduces uncertainty models, weights, performance norms, etc. set this book apart from others in the field. Offers detailed treatment of topics not found elsewhere including — Riccati equations, …m theory, H…à loopshaping, controller reduction, how to formulate problems in a LFT form. Key results are given immediately for quick access in the beginning of the book. Overall the book serves as a tremendous self-contained reference by having collected and developed all the important proofs and key results available. Problems sets are available on Internet.
- offers comprehensive coverage of both robust and Hà control, allowing flexibility in both the selection and organization of topics.
- takes a self-contained approach, including detailed proof and development of each topic.
- serves as either textbook or reference manual, designing coverage in such a way that readers do not need to cover previous chapters to access key results.
- provides highlights of the key results at the beginning of the book.
- constructs a strong instructional framework composed of...
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guidelines for selecting topics.
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Chapter Highlights.
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numerous diagrams and figures.
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worked examples showing step-by-step development.
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lists of key terms and symbols.
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chapter summaries.
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end-of-chapter notes.
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1. Introduction.
2. Linear Algebra.
3. Linear Dynamical Systems.
4. Performance Specifications.
5. Stability and Performance of Feedback Systems.
6. Performance Limitations.
7. Model Reduction by Balanced Truncation.
8. Hankel Norm Approximation.
9. Model Uncertainty and Robustness.
10. Linear Fractional Transformation.
11. Structured Singular Value.
12. Parameterization of Stabilizing Controllers.
13. Algebraic Riccati Equations.
14. H 2 Optimal Control.
15. Linear Quadratic Optimization.
16. Hà Control: Simple Case.
17. Hà Control: General Case.
18. Hà Loop Shaping.
19. Controller Order Reduction.
20. Fixed Structure Controllers.
21. Discrete Time Control.
Bibliography.
Index.
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