Robust Systems Theory and Applications (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
Language: English
Published by Wiley-Interscience, 1998
- Hardcover
- New

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In English.
Seller Inventory # ria9780471176275_new
- Title
- Robust Systems Theory and Applications (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
- Author
- Sánchez-Peña, Ricardo S.; Sznaier, Mario
- Publisher
- Wiley-Interscience
- Publication year
- 1998
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471176273
- ISBN 13
- 9780471176275
- Item weight
- 1,011 grams
- Series
- Book 18 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Robust Systems Theory and Applications covers both the techniquesused in linear robust control analysis/synthesis and in robust(control-oriented) identification. The main analysis and designmethods are complemented by elaborated examples and a group ofworked-out applications that stress specific practical issues:nonlinearities, robustness against changes in operating conditions,uncertain infinite dimensional plants, and actuator and sensorlimitations. Designed expressly as a textbook for master's andfirst-year PhD students, this volume:
* Introduces basic robustness concepts in the context of SISOsystems described by Laplace transforms, establishing connectionswith well-known classical control techniques
* Presents the internal stabilization problem from two differentpoints of view: algebraic and state --space
* Introduces the four basic problems in robust control and the Loopshaping design method Presents the optimal *2 control problem froma different viewpoint, including an analysis of the robustnessproperties of *2 controllers and a treatment of the generalized *2problem
* Presents the *2 control problem using both the state-spaceapproach developed in the late 1980s and a Linear Matrix Inequalityapproach (developed in the mid 1990s) that encompasses more generalproblems
* Discusses more general types of uncertainties (parametric andmixed type) and ??-synthesis as a design tool
* Presents an overview of optimal ,1 control theory and covers thefundamentals of its star-norm approximation
* Presents the basic tools of model order reduction
* Provides a tutorial on robust identification
* Offers numerous end-of-chapter problems and worked-out examplesof robust control
"Synopsis" may belong to another edition of this title.
About the Author
MARIO SZNAIER, MSEE, PhD, is an Associate Professor in theDepartment of Electrical Engineering at Pennsylvania StateUniversity, University Park, USA.
"About the title" may belong to another edition of this title.
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