Identification and classical control of linear multivariable systems:
Most systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This lucid book considers the identification and control of such systems. It discusses open loop and closed loop identification methods, as well...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, United Kingdom
Cambridge University Press
2022
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| Schlagworte: | |
| Online-Zugang: | BSB01 BTU01 FHN01 UBG01 Volltext |
| Zusammenfassung: | Most systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This lucid book considers the identification and control of such systems. It discusses open loop and closed loop identification methods, as well as the design of multivariable controllers based on steady state gain matrix. Simple methods for designing controllers based on transfer function matrix model have been reviewed. The design of controllers for non-square systems, and closed loop identification of multivariable unstable systems by the optimization method are also covered. Several simulation examples and exercise problems at the end of each chapter further help the reader consolidate the knowledge gained. This book will be useful to any engineering student, researcher or practitioner who works with interactive, multivariable control systems |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 29 Jul 2022) |
| Beschreibung: | 1 Online-Ressource (xxix, 386 Seiten) |
| ISBN: | 9781009043472 |
| DOI: | 10.1017/9781009043472 |
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| 520 | |a Most systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This lucid book considers the identification and control of such systems. It discusses open loop and closed loop identification methods, as well as the design of multivariable controllers based on steady state gain matrix. Simple methods for designing controllers based on transfer function matrix model have been reviewed. The design of controllers for non-square systems, and closed loop identification of multivariable unstable systems by the optimization method are also covered. Several simulation examples and exercise problems at the end of each chapter further help the reader consolidate the knowledge gained. This book will be useful to any engineering student, researcher or practitioner who works with interactive, multivariable control systems | ||
| 650 | 4 | |a Linear control systems | |
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Datensatz im Suchindex
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| author | Dhanya Ram V ca. 20./21. Jh Chidambaram, M. ca. 20./21. Jh |
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| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| discipline_str_mv | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| doi_str_mv | 10.1017/9781009043472 |
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| id | DE-604.BV048477728 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T20:38:19Z |
| indexdate | 2024-07-10T09:39:13Z |
| institution | BVB |
| isbn | 9781009043472 |
| language | English |
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| physical | 1 Online-Ressource (xxix, 386 Seiten) |
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| publishDate | 2022 |
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| publisher | Cambridge University Press |
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| spelling | Dhanya Ram V ca. 20./21. Jh. (DE-588)1268453293 aut Identification and classical control of linear multivariable systems Dhanya Ram V., M. Chidambaram Cambridge, United Kingdom Cambridge University Press 2022 1 Online-Ressource (xxix, 386 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 29 Jul 2022) Most systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This lucid book considers the identification and control of such systems. It discusses open loop and closed loop identification methods, as well as the design of multivariable controllers based on steady state gain matrix. Simple methods for designing controllers based on transfer function matrix model have been reviewed. The design of controllers for non-square systems, and closed loop identification of multivariable unstable systems by the optimization method are also covered. Several simulation examples and exercise problems at the end of each chapter further help the reader consolidate the knowledge gained. This book will be useful to any engineering student, researcher or practitioner who works with interactive, multivariable control systems Linear control systems Multiple criteria decision making Chidambaram, M. ca. 20./21. Jh. (DE-588)1156720923 aut Erscheint auch als Druck-Ausgabe 978-1-31-651721-5 https://doi.org/10.1017/9781009043472 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Dhanya Ram V ca. 20./21. Jh Chidambaram, M. ca. 20./21. Jh Identification and classical control of linear multivariable systems Linear control systems Multiple criteria decision making |
| title | Identification and classical control of linear multivariable systems |
| title_auth | Identification and classical control of linear multivariable systems |
| title_exact_search | Identification and classical control of linear multivariable systems |
| title_exact_search_txtP | Identification and classical control of linear multivariable systems |
| title_full | Identification and classical control of linear multivariable systems Dhanya Ram V., M. Chidambaram |
| title_fullStr | Identification and classical control of linear multivariable systems Dhanya Ram V., M. Chidambaram |
| title_full_unstemmed | Identification and classical control of linear multivariable systems Dhanya Ram V., M. Chidambaram |
| title_short | Identification and classical control of linear multivariable systems |
| title_sort | identification and classical control of linear multivariable systems |
| topic | Linear control systems Multiple criteria decision making |
| topic_facet | Linear control systems Multiple criteria decision making |
| url | https://doi.org/10.1017/9781009043472 |
| work_keys_str_mv | AT dhanyaramv identificationandclassicalcontroloflinearmultivariablesystems AT chidambaramm identificationandclassicalcontroloflinearmultivariablesystems |