Adaptive Control: Stability, Convergence, and Robustness
by Shankar Sastry, Marc Bodson
Publisher: Prentice Hall 1994
Number of pages: 378
The objective of this book is to give the major results, techniques of analysis and new directions of research in adaptive systems. The authors give a clear, conceptual presentation of adaptive methods, to enable a critical evaluation of these techniques and suggest avenues of further development. The book presents deterministic theory of identification and adaptive control. The focus is on linear, continuous time, single-input single output systems.
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by M. H. A. Davis - Tata Institute of Fundamental Research
There are actually two separate series of lectures, on controlled stochastic jump processes and nonlinear filtering respectively. They are united however, by the common philosophy of treating Markov processes by methods of stochastic calculus.
by Vincent Del Toro, Sydney R. Parker - McGraw-Hill
This is an integrated treatment of feedback control systems at the senior-graduate level. In order to emphasize the unified approach, the book is divided into five sections. Each section deals with a fundamental phase of control systems engineering.
by Ivan Ganchev Ivanov (ed.) - InTech
The book provides a self-contained treatment on practical aspects of stochastic modeling and calculus including applications in engineering, statistics and computer science. Readers should be familiar with probability theory and stochastic calculus.
by Kwanho You - InTech
This book discusses the issues of adaptive control application to model generation, adaptive estimation, output regulation and feedback, electrical drives, optical communication, neural estimator, simulation and implementation.