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 Wilson J. Rugh - The Johns Hopkins University Press
Contents: Input/Output Representations in the Time and Transform Domain; Obtaining Input/Output Representations from Differential-Equation Descriptions; Realization Theory; Response Characteristics of Stationary Systems; Discrete-Time Systems; etc.
by Jan C. Willems - The MIT Press
This monograph develops further and refines methods based on input -output descriptions for analyzing feedback systems. Contrary to previous work in this area, the treatment heavily emphasizes and exploits the causality of the operators involved.
by Richard M. Murray - Society for Industrial Mathematics
The prospects for control in the current and future technological environment. The text describes the role the field will play in commercial and scientific applications over the next decade, and recommends actions required for new breakthroughs.
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.