Model Predictive Control in the Process Industry:
Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal con...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Springer London
1995
|
| Schriftenreihe: | Advances in Industrial Control
|
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors |
| Beschreibung: | 1 Online-Ressource (XVIII, 239 p) |
| ISBN: | 9781447130086 |
| DOI: | 10.1007/978-1-4471-3008-6 |
Internformat
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| 520 | |a Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors | ||
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Datensatz im Suchindex
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| author | Fernandez-Camacho, Eduardo Bordons-Alba, Carlos |
| author_facet | Fernandez-Camacho, Eduardo Bordons-Alba, Carlos |
| author_role | aut aut |
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| bvnumber | BV045187115 |
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| dewey-full | 629.8 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.8 |
| dewey-search | 629.8 |
| dewey-sort | 3629.8 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| doi_str_mv | 10.1007/978-1-4471-3008-6 |
| format | Electronic eBook |
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| id | DE-604.BV045187115 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:58Z |
| institution | BVB |
| isbn | 9781447130086 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030576293 |
| oclc_num | 1053818194 |
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| owner | DE-634 |
| owner_facet | DE-634 |
| physical | 1 Online-Ressource (XVIII, 239 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| publisher | Springer London |
| record_format | marc |
| series2 | Advances in Industrial Control |
| spelling | Fernandez-Camacho, Eduardo Verfasser aut Model Predictive Control in the Process Industry by Eduardo Fernandez-Camacho, Carlos Bordons-Alba London Springer London 1995 1 Online-Ressource (XVIII, 239 p) txt rdacontent c rdamedia cr rdacarrier Advances in Industrial Control Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors Engineering Control Software Engineering/Programming and Operating Systems Software engineering Control engineering Reglerentwurf (DE-588)4177447-4 gnd rswk-swf Prädiktive Regelung (DE-588)4271836-3 gnd rswk-swf Prädiktive Regelung (DE-588)4271836-3 s Reglerentwurf (DE-588)4177447-4 s 1\p DE-604 Bordons-Alba, Carlos aut Erscheint auch als Druck-Ausgabe 9781447130109 https://doi.org/10.1007/978-1-4471-3008-6 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Fernandez-Camacho, Eduardo Bordons-Alba, Carlos Model Predictive Control in the Process Industry Engineering Control Software Engineering/Programming and Operating Systems Software engineering Control engineering Reglerentwurf (DE-588)4177447-4 gnd Prädiktive Regelung (DE-588)4271836-3 gnd |
| subject_GND | (DE-588)4177447-4 (DE-588)4271836-3 |
| title | Model Predictive Control in the Process Industry |
| title_auth | Model Predictive Control in the Process Industry |
| title_exact_search | Model Predictive Control in the Process Industry |
| title_full | Model Predictive Control in the Process Industry by Eduardo Fernandez-Camacho, Carlos Bordons-Alba |
| title_fullStr | Model Predictive Control in the Process Industry by Eduardo Fernandez-Camacho, Carlos Bordons-Alba |
| title_full_unstemmed | Model Predictive Control in the Process Industry by Eduardo Fernandez-Camacho, Carlos Bordons-Alba |
| title_short | Model Predictive Control in the Process Industry |
| title_sort | model predictive control in the process industry |
| topic | Engineering Control Software Engineering/Programming and Operating Systems Software engineering Control engineering Reglerentwurf (DE-588)4177447-4 gnd Prädiktive Regelung (DE-588)4271836-3 gnd |
| topic_facet | Engineering Control Software Engineering/Programming and Operating Systems Software engineering Control engineering Reglerentwurf Prädiktive Regelung |
| url | https://doi.org/10.1007/978-1-4471-3008-6 |
| work_keys_str_mv | AT fernandezcamachoeduardo modelpredictivecontrolintheprocessindustry AT bordonsalbacarlos modelpredictivecontrolintheprocessindustry |