Advanced Model Predictive Control

Edited by: Tao Zheng



ISBN 978-953-307-298-2, Hard cover, 418 pages

Publisher: InTech

Publication date: July 2011

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.
As the guide for researchers and engineers all over the world concerned
with the latest developments of MPC, the purpose of "Advanced Model
Predictive Control" is to show the readers the recent achievements in
this area. The first part of this exciting book will help you comprehend
the frontiers in theoretical research of MPC, such as Fast MPC,
Nonlinear MPC, Distributed MPC, Multi-Dimensional MPC and Fuzzy-Neural
MPC. In the second part, several excellent applications of MPC in modern
industry are proposed and efficient commercial software for MPC is
introduced. Because of its special industrial origin, we believe that
MPC will remain energetic in the future.

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