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 Eitan Altman, Bruno Gaujal, Arie Hordijk - Springer
Opening new directions in research in stochastic control, this book focuses on a wide class of control and of optimization problems over sequences of integer numbers. The theory is applied to the control of stochastic discrete-event dynamic 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 Roy D. Byrd - Delmar Publishers
These materials are intended to provide a meaningful experience with automatic controls for students of modern technology. The topics included provide exposure to basic principles of control systems, transducers, actuators, amplifiers, controllers.
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.