Feedback Control Theory
by John Doyle, Bruce Francis, Allen Tannenbaum
Number of pages: 219
The goal of this book is to present a theory of feedback control system design that captures the essential issues, can be applied to a wide range of practical problems, and is as simple as possible. The book is addressed to students in engineering who have had an undergraduate course in signals and systems, including an introduction to frequency-domain methods of analyzing feedback control systems.
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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 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 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 K. M. Passino, S. Yurkovich - Addison Wesley
Introduction to fuzzy control with a broad treatment of topics including direct fuzzy control, nonlinear analysis, identification/ estimation, adaptive and supervisory control, and applications, with many examples, exercises and design problems.