Adaptive Approximation Based Control Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches

A highly accessible and unified approach to the design and analysisof intelligent control systems Adaptive Approximation Based Control is a tool every controldesigner should have in his or her control toolbox. Mixing approximation theory, parameter estimation, and feedbackcontrol, this book presents a unified approach designed to enablereaders to apply adaptive approximation based control to existingsystems, and, more importantly, to gain enough intuition andunderstanding to manipulate and combine it with other control toolsfor applications that have not been encountered before. The authors provide readers with a thought-provoking framework forrigorously considering such questions as: * What properties should the function approximator have? * Are certain families of approximators superior to others? * Can the stability and the convergence of the approximatorparameters be guaranteed? * Can control systems be designed to be robust in the face ofnoise, disturbances, and unmodeled effects? * Can this approach handle significant changes in the dynamics dueto such disruptions as system failure? * What types of nonlinear dynamic systems are amenable to thisapproach? * What are the limitations of adaptive approximation basedcontrol? Combining theoretical formulation and design techniques withextensive use of simulation examples, this book is a stimulatingtext for researchers and graduate students and a valuable resourcefor practicing engineers.