Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches (Farrell, J.A. and Polycarpou, M.M. [Book review

Abstract

The goal of this book is to present different methodologies of the adaptive-approximation-based control in a unified context to facilitate discussions and comparison. Some of the topics covered include: a review of typical terminology used in nonlinear system control; approximation theory; approximation structures; learning methodologies used for adaptive function approximation; the design of nonlinear control systems; analysis and synthesis of nonlinear adaptive-approximation-based control systems; higher-order systems; and the design and analysis of adaptive-approximation-based controllers as applied to a fixed-wing aircraft. The book includes two appendices, with the first giving a background knowledge for stability and control of nonlinear systems, and the second providing a useful guide for implementing and debugging adaptive-approximation-based controllers. The book is written in plain language and flows from chapter to chapter in a natural way. Each chapter concludes with a summary as well as the exercises and design problems. The book constitutes an excellent reference for scientists and engineers interested in the subject matter. It would also serve well as a text for senior undergraduate or first year graduate courses in the field.