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.
Home page url
Download or read it online for free here:
(multiple PDF files)
by Karl J. Astrom, Richard M. Murray - Princeton University Press
An introduction to the basic principles and tools for the design and analysis of feedback systems. It is intended for scientists and engineers who are interested in utilizing feedback in physical, biological, information and social systems.
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 Panos J. Antsaklis, Kevin M. Passino (eds) - Kluwer Academic Publishers
An introduction to the field of intelligent control with a broad treatment of topics by several authors (including hierarchical / distributed intelligent control, fuzzy control, expert control, neural networks, planning systems, and applications).
by S. Boyd, L. El Ghaoui, E. Feron, V. Balakrishnan
The authors reduce a wide variety of problems arising in system and control theory to a handful of optimization problems that involve linear matrix inequalities. These problems can be solved using recently developed numerical algorithms.