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 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 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 Ginalber Luiz de Oliveira Serra (ed.) - InTech
This book brings the state-of-art research results on advanced control from both the theoretical and practical perspectives. The fundamental and advanced research results and technical evolution of control theory are of particular interest.
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.