This examination of adaptive control covers: discrete time systems models for control; parameter adaption algorithms; adaptive prediction; digital control strategies; robust digital control design; closed loop; direct adaptive control; and indirect self-tuning and adaptive control.

Adaptive Control provides techniques for the automatic adjustment in real time of controller parameters. Their purpose is to achieve or maintain a desired level of system performance when process parameters are unknown or variable. Such techniques operate by extracting significative information from real data in order to tune the controller and they feature a mechanism for adjusting parameters. The book explores both established ideas and recent trends in the field of adaptive control. More specifically, the book covers synthesis and analysis of parameter adaptation algorithms, robust digital control and recursive digital control in open and closed loop. This book considers the problems and seeks to find answers using mathematical sequences.To guide the reader, the book contains various applications of adaptive control techniques.

Introduction to Adaptive Control.- Discrete-time Systems Models for Control.- Parameter Adaption Algorithms - Deterministic Environment.- Parameter Adaption Algorithms in Stochastic Environment.- Recursive Plant Model in the Context of System Identification.- Adaptive Prediction.- Digital Control Strategies.- Robust Digital Control Design.- Closed Loop.- Direct Adaptive Control.- Indirect Self-tuning and Adaptive Control.- Robust Adaptive Control.- Practical Aspects.- Perspective View.- Appendix.