Stable Adaptive Control and Estimation for Nonlinear Systems

Neural and Fuzzy Approximator Techniques

AvJeffrey T. Spooner,Manfredi Maggiore

Inbunden, Engelska, 2002

Del 28 i serien Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

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Beskrivning

Includes a solution manual for problems.Provides MATLAB code for examples and solutions.Deals with robust systems in both theory and practice.

Produktinformation

Utgivningsdatum:2002-06-12
Mått:159 x 244 x 31 mm
Vikt:912 g
Format:Inbunden
Språk:Engelska
Serie:Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Antal sidor:568
Förlag:John Wiley & Sons Inc
ISBN:9780471415466

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Mer om författaren

JEFFREY T. SPOONER is a senior member of the technical staff at Sandia National Laboratories, Albuquerque, New Mexico. MANFREDI MAGGIORE is an assistant professor in the Department of Electrical and Computer Engineering at the University of Toronto, Canada.RAÚL ORDÓÑEZ is an assistant professor in the Department of Electrical and Computer Engineering at the University of Dayton, Ohio.KEVIN M. PASSINO is a professor in the Department of Electrical Engineering at The Ohio State University.

Recensioner i media

"…well-organized…very useful for a graduate level control or intelligent systems course…" (International Journal of Robust and Nonlinear Control, January 2005) “…the text is well organised with topics judiciously selected to build on each other…the discussion and motivations are rigorous…” (International Journal of Robust & Nonlinear Control, Vol.15, No.1, 10th January 2005)"...this is an excellent book. It is pedagogically sound and, hence, suitable as a text for graduate courses.... I recommend it also as a very valuable resource to practitioners..." (International Journal of General Systems, Vol. 32, 2003)

Innehållsförteckning

Introduction. PART I: FOUNDATIONS. Mathematical Foundations. Neural Networks and Fuzzy Systems. Optimization for Training Approximators. Function Approximation. PART II: STATE-FEEDBACK CONTROL. Control of Nonlinear Systems. Direct Adaptive Control. Indirect Adaptive Control. Implementations and Comparative Studies. PART III:OUTPUT-FEEDBACK CONTROL. Output-Feedback Control. Adaptive Output Feedback Control. Applications. PART IV: EXTENSIONS. Discrete-Time Systems. Decentralized Systems. Perspectives on Intelligent Adaptive Systems. For Further Study. Bibliography. Index.