New Directions on Model Predictive Control
Model predictive control (MPC) is an advanced control design used in many industries worldwide. An MPC selects control actions which are optimal with respect to a given performance metric as well as any physically-motivated constraints. MPC has therefore gained significant research attention over th...
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| Váldodahkkit: | , |
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| Materiálatiipa: | Online |
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Fáttát: | |
| Liŋkkat: | 31737 |
| Fáddágilkorat: |
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| _version_ | 1869520580308369408 |
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| author | Jinfeng Liu (Ed.) Helen E Durand (Ed.) |
| author_browse | Helen E Durand (Ed.) Jinfeng Liu (Ed.) |
| author_facet | Jinfeng Liu (Ed.) Helen E Durand (Ed.) |
| author_sort | Jinfeng Liu (Ed.) |
| collection | Directory of Open Access Books |
| description | Model predictive control (MPC) is an advanced control design used in many industries worldwide. An MPC selects control actions which are optimal with respect to a given performance metric as well as any physically-motivated constraints. MPC has therefore gained significant research attention over the past several decades. Advances in MPC continue to unlock its potential to solve a wide variety of practical issues. This book presents some of the state-of-the-art in MPC design from theoretical and applications perspectives. It covers a broad spectrum of MPC application areas, reviewing applications as diverse as air conditioning, pharmaceutical manufacturing, mineral column flotation, actuator faults, and hydraulic fracturing, while also highlighting recent theoretical advancements in control technology that integrate it with data-driven models, zone tracking, or process safety and cybersecurity. Both centralized and distributed MPC formulations are presented. The purpose of this book is to assemble a collection of current research in MPC that handles practically-motivated theoretical issues as well as recent MPC applications, with the aim of highlighting the significant potential benefits of new MPC theory and design. |
| format | Online |
| id | doab-20.500.12854ir-54570 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-545702024-04-11T15:10:14Z New Directions on Model Predictive Control Jinfeng Liu (Ed.) Helen E Durand (Ed.) TA1-2040 receding horizon control optimal control predictive control thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Model predictive control (MPC) is an advanced control design used in many industries worldwide. An MPC selects control actions which are optimal with respect to a given performance metric as well as any physically-motivated constraints. MPC has therefore gained significant research attention over the past several decades. Advances in MPC continue to unlock its potential to solve a wide variety of practical issues. This book presents some of the state-of-the-art in MPC design from theoretical and applications perspectives. It covers a broad spectrum of MPC application areas, reviewing applications as diverse as air conditioning, pharmaceutical manufacturing, mineral column flotation, actuator faults, and hydraulic fracturing, while also highlighting recent theoretical advancements in control technology that integrate it with data-driven models, zone tracking, or process safety and cybersecurity. Both centralized and distributed MPC formulations are presented. The purpose of this book is to assemble a collection of current research in MPC that handles practically-motivated theoretical issues as well as recent MPC applications, with the aim of highlighting the significant potential benefits of new MPC theory and design. 2021-02-11T20:54:05Z 2021-02-11T20:54:05Z 2019-01-16 11:41:36 2019 book 31737 9783038974208 9783038974215 https://directory.doabooks.org/handle/20.500.12854/54570 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.mdpi.com/books/pdfview/book/1092 https://play.google.com/books/publish/a/14935057684283403269#details/ISBN:9783038974208 https://www.mdpi.com/books/pdfview/book/1092 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03897-421-5 10.3390/books978-3-03897-421-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038974208 9783038974215 230 open access |
| spellingShingle | TA1-2040 receding horizon control optimal control predictive control thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Jinfeng Liu (Ed.) Helen E Durand (Ed.) New Directions on Model Predictive Control |
| title | New Directions on Model Predictive Control |
| title_full | New Directions on Model Predictive Control |
| title_fullStr | New Directions on Model Predictive Control |
| title_full_unstemmed | New Directions on Model Predictive Control |
| title_short | New Directions on Model Predictive Control |
| title_sort | new directions on model predictive control |
| topic | TA1-2040 receding horizon control optimal control predictive control thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | TA1-2040 receding horizon control optimal control predictive control thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | 31737 |
| work_keys_str_mv | AT jinfengliued newdirectionsonmodelpredictivecontrol AT heleneduranded newdirectionsonmodelpredictivecontrol |