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 Francesco Bullo, Jorge Cortes, Sonia Martinez - Princeton University Press
This introductory book offers a distinctive blend of computer science and control theory. The book presents a broad set of tools for understanding coordination algorithms, determining their correctness, and assessing their complexity.
by T.T. Tay, I.M.Y. Mareels, J.B. Moore - Birkhauser
Using the tools of optimal control, robust control and adaptive control, the authors develop the theory of high performance control. Topics include performance enhancement, stabilizing controllers, offline controller design, and dynamical systems.
by Vincent Del Toro, Sydney R. Parker - McGraw-Hill
This is an integrated treatment of feedback control systems at the senior-graduate level. In order to emphasize the unified approach, the book is divided into five sections. Each section deals with a fundamental phase of control systems engineering.
by R. Timman
The lectures present an introduction to modern control theory. Calculus of variations is used to study the problem of determining the optimal control for a deterministic system without constraints and for one with constraints.