Adaptive Control & Estimation for Nonlinear Systems – Neural & Fuzzy Approximation Techniques (Obook)

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. RAUL ORDO?EZ 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.

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.