Data driven identification of networks of dynamic systems:
This comprehensive text provides an excellent introduction to the state of the art in the identification of network-connected systems. It covers models and methods in detail, includes a case study showing how many of these methods are applied in adaptive optics and addresses open research questions....
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2022
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| Schlagworte: | |
| Online-Zugang: | BSB01 BTU01 FHN01 Volltext |
| Zusammenfassung: | This comprehensive text provides an excellent introduction to the state of the art in the identification of network-connected systems. It covers models and methods in detail, includes a case study showing how many of these methods are applied in adaptive optics and addresses open research questions. Specific models covered include generic modelling for MIMO LTI systems, signal flow models of dynamic networks and models of networks of local LTI systems. A variety of different identification methods are discussed, including identification of signal flow dynamics networks, subspace-like identification of multi-dimensional systems and subspace identification of local systems in an NDS. Researchers working in system identification and/or networked systems will appreciate the comprehensive overview provided, and the emphasis on algorithm design will interest those wishing to test the theory on real-life applications. This is the ideal text for researchers and graduate students interested in system identification for networked systems |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 07 Apr 2022) |
| Beschreibung: | 1 Online-Ressource (xviii, 267 Seiten) |
| ISBN: | 9781009026338 |
| DOI: | 10.1017/9781009026338 |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1017/9781009026338 |
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| isbn | 9781009026338 |
| language | English |
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| spelling | Verhaegen, Michel 1959- (DE-588)1258385619 aut Data driven identification of networks of dynamic systems Michel Verhaegen, Chengpu Yu, Baptiste Sinquin Cambridge Cambridge University Press 2022 1 Online-Ressource (xviii, 267 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 07 Apr 2022) This comprehensive text provides an excellent introduction to the state of the art in the identification of network-connected systems. It covers models and methods in detail, includes a case study showing how many of these methods are applied in adaptive optics and addresses open research questions. Specific models covered include generic modelling for MIMO LTI systems, signal flow models of dynamic networks and models of networks of local LTI systems. A variety of different identification methods are discussed, including identification of signal flow dynamics networks, subspace-like identification of multi-dimensional systems and subspace identification of local systems in an NDS. Researchers working in system identification and/or networked systems will appreciate the comprehensive overview provided, and the emphasis on algorithm design will interest those wishing to test the theory on real-life applications. This is the ideal text for researchers and graduate students interested in system identification for networked systems System analysis / Mathematics Yu, Chengpu 1984- (DE-588)1258386119 aut Sinquin, Baptiste 1991- (DE-588)125838647X aut Erscheint auch als Druck-Ausgabe 978-1-31-651570-9 https://doi.org/10.1017/9781009026338 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Verhaegen, Michel 1959- Yu, Chengpu 1984- Sinquin, Baptiste 1991- Data driven identification of networks of dynamic systems System analysis / Mathematics |
| title | Data driven identification of networks of dynamic systems |
| title_auth | Data driven identification of networks of dynamic systems |
| title_exact_search | Data driven identification of networks of dynamic systems |
| title_exact_search_txtP | Data driven identification of networks of dynamic systems |
| title_full | Data driven identification of networks of dynamic systems Michel Verhaegen, Chengpu Yu, Baptiste Sinquin |
| title_fullStr | Data driven identification of networks of dynamic systems Michel Verhaegen, Chengpu Yu, Baptiste Sinquin |
| title_full_unstemmed | Data driven identification of networks of dynamic systems Michel Verhaegen, Chengpu Yu, Baptiste Sinquin |
| title_short | Data driven identification of networks of dynamic systems |
| title_sort | data driven identification of networks of dynamic systems |
| topic | System analysis / Mathematics |
| topic_facet | System analysis / Mathematics |
| url | https://doi.org/10.1017/9781009026338 |
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