Advanced Model Predictive Control

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...

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Sprog:engelsk
Udgivet: IntechOpen 2021
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Online adgang:ONIX_20210420_9789533072982_357
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collection Directory of Open Access Books
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. 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.
format Online
id doab-20.500.12854ir-65001
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
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publisher IntechOpen
publisherStr IntechOpen
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spelling doab-20.500.12854ir-650012024-04-11T20:33:50Z Advanced Model Predictive Control Zheng, Tao Automatic control engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering 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. 2021-04-20T15:06:46Z 2021-04-20T15:06:46Z 2011 book ONIX_20210420_9789533072982_357 9789533072982 9789535160151 https://directory.doabooks.org/handle/20.500.12854/65001 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/160/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/685 10.5772/685 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789533072982 9789535160151 IntechOpen 432 open access
spellingShingle Automatic control engineering
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
Advanced Model Predictive Control
title Advanced Model Predictive Control
title_full Advanced Model Predictive Control
title_fullStr Advanced Model Predictive Control
title_full_unstemmed Advanced Model Predictive Control
title_short Advanced Model Predictive Control
title_sort advanced model predictive control
topic Automatic control engineering
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
topic_facet Automatic control engineering
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
url ONIX_20210420_9789533072982_357