Advanced Model Predictive Control
by Tao Zheng
Publisher: InTech 2011
ISBN-13: 9789533072982
Number of pages: 418
Description:
Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields.
Download or read it online for free here:
Download link
(14MB, PDF)
Similar books
Control Systemsby Andrew Whitworth - Wikibooks
An inter-disciplinary engineering text that analyzes the effects and interactions of mathematical systems. This book is for third and fourth year undergraduates in an engineering program. It considers both classical and modern control methods.
(21217 views)
Adaptive Controlby Kwanho You - InTech
This book discusses the issues of adaptive control application to model generation, adaptive estimation, output regulation and feedback, electrical drives, optical communication, neural estimator, simulation and implementation.
(16753 views)
Discrete-Event Control of Stochastic Networks: Multimodularity and Regularityby Eitan Altman, Bruno Gaujal, Arie Hordijk - Springer
Opening new directions in research in stochastic control, this book focuses on a wide class of control and of optimization problems over sequences of integer numbers. The theory is applied to the control of stochastic discrete-event dynamic systems.
(6878 views)
Control and Nonlinearityby Jean-Michel Coron - American Mathematical Society
This book presents methods to study the controllability and the stabilization of nonlinear control systems in finite and infinite dimensions. Examples are given where nonlinearities turn out to be essential to get controllability or stabilization.
(8806 views)