Multivariable system identification for process control:
Systems and control theory has experienced significant development in the past few decades. New techniques have emerged which hold enormous potential for industrial applications, and which have therefore also attracted much interest from academic researchers. However, the impact of these development...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam New York
Pergamon
2001
|
| Ausgabe: | 1st ed |
| Schlagworte: | |
| Online-Zugang: | FLA01 Volltext |
| Zusammenfassung: | Systems and control theory has experienced significant development in the past few decades. New techniques have emerged which hold enormous potential for industrial applications, and which have therefore also attracted much interest from academic researchers. However, the impact of these developments on the process industries has been limited. The purpose of <IT>Multivariable System Identification for Process Control</IT> is to bridge the gap between theory and application, and to provide industrial solutions, based on sound scientific theory, to process identification problems. The book is organized in a reader-friendly way, starting with the simplest methods, and then gradually introducing more complex techniques. Thus, the reader is offered clear physical insight without recourse to large amounts of mathematics. Each method is covered in a single chapter or section, and experimental design is explained before any identification algorithms are discussed. The many simulation examples and industrial case studies demonstrate the power and efficiency of process identification, helping to make the theory more applicable. Matlab<SUP> & trade;</SUP> M-files, designed to help the reader to learn identification in a computing environment, are included |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 online resource (xxi, 349 pages) illustrations |
| ISBN: | 9780080439853 0080439853 9780080537115 0080537111 |
Internformat
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| 245 | 1 | 0 | |a Multivariable system identification for process control |c Yucai Zhu |
| 250 | |a 1st ed | ||
| 264 | 1 | |a Amsterdam |a New York |b Pergamon |c 2001 | |
| 300 | |a 1 online resource (xxi, 349 pages) |b illustrations | ||
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| 500 | |a Includes bibliographical references and index | ||
| 520 | |a Systems and control theory has experienced significant development in the past few decades. New techniques have emerged which hold enormous potential for industrial applications, and which have therefore also attracted much interest from academic researchers. However, the impact of these developments on the process industries has been limited. The purpose of <IT>Multivariable System Identification for Process Control</IT> is to bridge the gap between theory and application, and to provide industrial solutions, based on sound scientific theory, to process identification problems. The book is organized in a reader-friendly way, starting with the simplest methods, and then gradually introducing more complex techniques. Thus, the reader is offered clear physical insight without recourse to large amounts of mathematics. Each method is covered in a single chapter or section, and experimental design is explained before any identification algorithms are discussed. The many simulation examples and industrial case studies demonstrate the power and efficiency of process identification, helping to make the theory more applicable. Matlab<SUP> & trade;</SUP> M-files, designed to help the reader to learn identification in a computing environment, are included | ||
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Datensatz im Suchindex
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| author | Zhu, Yucai 1960- |
| author_facet | Zhu, Yucai 1960- |
| author_role | aut |
| author_sort | Zhu, Yucai 1960- |
| author_variant | y z yz |
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| bvnumber | BV046123761 |
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| dewey-full | 670.42/7 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 670 - Manufacturing |
| dewey-raw | 670.42/7 |
| dewey-search | 670.42/7 |
| dewey-sort | 3670.42 17 |
| dewey-tens | 670 - Manufacturing |
| discipline | Werkstoffwissenschaften / Fertigungstechnik |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV046123761 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:35:48Z |
| institution | BVB |
| isbn | 9780080439853 0080439853 9780080537115 0080537111 |
| language | English |
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| spelling | Zhu, Yucai 1960- Verfasser aut Multivariable system identification for process control Yucai Zhu 1st ed Amsterdam New York Pergamon 2001 1 online resource (xxi, 349 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Systems and control theory has experienced significant development in the past few decades. New techniques have emerged which hold enormous potential for industrial applications, and which have therefore also attracted much interest from academic researchers. However, the impact of these developments on the process industries has been limited. The purpose of <IT>Multivariable System Identification for Process Control</IT> is to bridge the gap between theory and application, and to provide industrial solutions, based on sound scientific theory, to process identification problems. The book is organized in a reader-friendly way, starting with the simplest methods, and then gradually introducing more complex techniques. Thus, the reader is offered clear physical insight without recourse to large amounts of mathematics. Each method is covered in a single chapter or section, and experimental design is explained before any identification algorithms are discussed. The many simulation examples and industrial case studies demonstrate the power and efficiency of process identification, helping to make the theory more applicable. Matlab<SUP> & trade;</SUP> M-files, designed to help the reader to learn identification in a computing environment, are included TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh Process control fast System identification fast Process control System identification Prozessüberwachung (DE-588)4133922-8 gnd rswk-swf Mehrdimensionales System (DE-588)4431187-4 gnd rswk-swf Systemidentifikation (DE-588)4121753-6 gnd rswk-swf Mehrdimensionales System (DE-588)4431187-4 s Systemidentifikation (DE-588)4121753-6 s Prozessüberwachung (DE-588)4133922-8 s 1\p DE-604 http://www.sciencedirect.com/science/book/9780080439853 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Zhu, Yucai 1960- Multivariable system identification for process control TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh Process control fast System identification fast Process control System identification Prozessüberwachung (DE-588)4133922-8 gnd Mehrdimensionales System (DE-588)4431187-4 gnd Systemidentifikation (DE-588)4121753-6 gnd |
| subject_GND | (DE-588)4133922-8 (DE-588)4431187-4 (DE-588)4121753-6 |
| title | Multivariable system identification for process control |
| title_auth | Multivariable system identification for process control |
| title_exact_search | Multivariable system identification for process control |
| title_full | Multivariable system identification for process control Yucai Zhu |
| title_fullStr | Multivariable system identification for process control Yucai Zhu |
| title_full_unstemmed | Multivariable system identification for process control Yucai Zhu |
| title_short | Multivariable system identification for process control |
| title_sort | multivariable system identification for process control |
| topic | TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh Process control fast System identification fast Process control System identification Prozessüberwachung (DE-588)4133922-8 gnd Mehrdimensionales System (DE-588)4431187-4 gnd Systemidentifikation (DE-588)4121753-6 gnd |
| topic_facet | TECHNOLOGY & ENGINEERING / Industrial Engineering Process control System identification Prozessüberwachung Mehrdimensionales System Systemidentifikation |
| url | http://www.sciencedirect.com/science/book/9780080439853 |
| work_keys_str_mv | AT zhuyucai multivariablesystemidentificationforprocesscontrol |