Electronic Resource

Advanced Model Predictive Control

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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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Detail Information

Series Title

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Call Number

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Publisher

: InTechOpen., 2011

Collation

432 hlm; ill., lamp.,

Language

English

ISBN/ISSN

9789533072982, 9789535160151

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Automatic control engineering

Specific Detail Info

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Statement of Responsibility

Zheng, Tao

Other Information

Cataloger

ida

Source

https://directory.doabooks.org/handle/20.500.12854/65001

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Digital Object Identifier (DOI)

Contributor(s) Zheng, Tao (editor) Language English Show full item record Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict an

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