Constructive Nonlinear Control
by R. Sepulchre, M. Jankovic, P. Kokotovic
Publisher: Springer 1996
Number of pages: 323
In this book several streams of nonlinear control theory are merged and directed towards a constructive solution of the feedback stabilization problem. Analytic, geometric and asymptotic concepts are assembled as design tools for a wide variety of nonlinear phenomena and structures.
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by Esteban Tlelo-Cuautle - InTech
This book presents a collection of major developments in chaos systems covering aspects on chaotic behavioral modeling and simulation, control and synchronization of chaos systems, and applications like secure communications.
by John Doyle, Bruce Francis, Allen Tannenbaum
The book presents a theory of feedback control systems. It captures the essential issues, can be applied to a wide range of practical problems, and is as simple as possible. Addressed to students who have had a course in signals and systems.
by Tao Zheng - InTech
Model Predictive Control refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request to complicated process plants, MPC has been accepted in many practical fields.
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.