Linear Systems Optimal and Robust Control
Language: English
Published by CRC Press, 2007
- Hardcover
- New
Condition: New
£ 276.34
Quantity: 2 available
Add to basketItem description from seller
Designed for graduate-level courses, this text explains the concepts behind linear systems, optimal control, and robust control and illustrates these concepts with concrete examples and problems. It includes H? and sliding mode methods together for the first time in book form. The author develops mathematical analyses, including the derivation of H?, and highlights the use of MATLAB? software to solve practical problems via computer. The text contains end-of-chapter exercises so that readers can test their assimilation of the material. A solutions manual is available with qualifying course adoption. Sprache: Englisch Gewicht in Gramm: 806.
Seller Inventory # IB-14806766
- Title
- Linear Systems Optimal and Robust Control
- Author
- Alok Sinha
- Publisher
- CRC Press
- Publication year
- 2007
- Condition
- Neu
- Binding
- Gebundene Ausgabe
- Language
- English
- ISBN 10
- 0849392179
- ISBN 13
- 9780849392177
- Item weight
- 806 grams
Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear systems, optimal control, and robust control and illustrates these concepts with concrete examples and problems.
Developed as a two-course book, this self-contained text first discusses linear systems, including controllability, observability, and matrix fraction description. Within this framework, the author develops the ideas of state feedback control and observers. He then examines optimal control, stochastic optimal control, and the lack of robustness of linear quadratic Gaussian (LQG) control. The book subsequently presents robust control techniques and derives H∞ control theory from the first principle, followed by a discussion of the sliding mode control of a linear system. In addition, it shows how a blend of sliding mode control and H∞ methods can enhance the robustness of a linear system.
By learning the theories and algorithms as well as exploring the examples in Linear Systems: Optimal and Robust Control, students will be able to better understand and ultimately better manage engineering processes and systems.
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