Advanced Adaptive Control

Hardbound. For three decades, adaptive control has been an important area for basic theoretical research into the autonomous control of a priori unknown dynamical processes. Much of this study has been devoted to studies and applications associated with linear time invariant processes subject to Gaussian disturbances or mismodelling errors.

Advanced adaptive control extends this theory to encompass temporal and spatial parametric variations (through operating point changes), nonlinear dynamics, and non-Gaussian disturbances/distributions. The prohibitive complexity that this would bring to conventional mathematical methods (such as nonlinear time series analysis, frequency domain methods) has lead to the evolution of intelligent control methods based on ideas and techniques from such areas as neurophysiology, cognitive sciences, operational research, approximation theory and control theory which offer new research opportunities in adaptive con