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 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 Wilson J. Rugh - The Johns Hopkins University Press
Contents: Input/Output Representations in the Time and Transform Domain; Obtaining Input/Output Representations from Differential-Equation Descriptions; Realization Theory; Response Characteristics of Stationary Systems; Discrete-Time Systems; etc.
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 Stephen Boyd, Craig Barratt - Prentice-Hall
The book is motivated by the development of high quality integrated sensors and actuators, powerful control processors, and hardware and software that can be used to design control systems. Written for students and industrial control engineers.