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 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 Petr Husek - InTech
The the book covers broad field of theory and applications of many different control approaches applied on dynamic systems. Output and state feedback control include among others robust control, optimal control or intelligent control methods.
by M. H. A. Davis - Tata Institute of Fundamental Research
There are actually two separate series of lectures, on controlled stochastic jump processes and nonlinear filtering respectively. They are united however, by the common philosophy of treating Markov processes by methods of stochastic calculus.
by Eduardo D. Sontag - Springer
This textbook introduces the basic concepts of mathematical control and system theory in a self-contained and elementary fashion. Written for mathematically mature undergraduate or beginning graduate students, as well as engineering students.