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Robust Systems
Hardcover
Series: Adaptive and Cognitive Dynamic Systems: Signal Processing, L, Book 12
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ISBN10: 0471176273
ISBN13: 9780471176275
Publisher: John Wiley & Sons
Published: Aug 3 1998
Pages: 512
Weight: 1.85
Height: 1.16 Width: 6.40 Depth: 9.50
Language: English
ISBN13: 9780471176275
Publisher: John Wiley & Sons
Published: Aug 3 1998
Pages: 512
Weight: 1.85
Height: 1.16 Width: 6.40 Depth: 9.50
Language: English
A complete, up-to-date textbook on an increasingly importantsubject 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
* 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
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