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Robust Systems Theory and Applications (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and ,Used
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A complete, uptodate textbook on an increasingly importantsubjectRobust Systems Theory and Applications covers both the techniquesused in linear robust control analysis/synthesis and in robust(controloriented) identification. The main analysis and designmethods are complemented by elaborated examples and a group ofworkedout 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 andfirstyear PhD students, this volume:* Introduces basic robustness concepts in the context of SISOsystems described by Laplace transforms, establishing connectionswith wellknown 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 statespaceapproach 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 starnorm approximation* Presents the basic tools of model order reduction* Provides a tutorial on robust identification* Offers numerous endofchapter problems and workedout examplesof robust control
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