by K. M. Passino, S. Yurkovich
Publisher: Addison Wesley 1997
Number of pages: 475
An introduction to the field of fuzzy control with a broad treatment of topics including direct fuzzy control, nonlinear analysis, identification/ estimation, adaptive and supervisory control, and applications. This is a textbook with many examples, exercises and design problems, and code available for downloading (also, this book is listed as a Matlab textbook at Mathworks).
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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 Shankar Sastry, Marc Bodson - Prentice Hall
The book gives the major results, techniques of analysis and new directions in adaptive systems. It presents deterministic theory of identification and adaptive control. The focus is on linear, continuous time, single-input single output systems.
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 Jean-Michel Coron - American Mathematical Society
This book presents methods to study the controllability and the stabilization of nonlinear control systems in finite and infinite dimensions. Examples are given where nonlinearities turn out to be essential to get controllability or stabilization.