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Data driven identification of networks of dynamic systems /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Data driven identification of networks of dynamic systems // Michel Verhaegen, Chengpu Yu, Baptiste Sinquin.
作者:
Verhaegen, M.
其他作者:
Yu, Chengpu,
面頁冊數:
1 online resource (xviii, 267 pages) :digital, PDF file(s). :
附註:
Title from publisher's bibliographic system (viewed on 07 Apr 2022).
標題:
System analysis - Mathematics. -
電子資源:
https://www.cambridge.org/core/product/identifier/9781009026338/type/BOOK
ISBN:
9781009026338 (ebook)
Data driven identification of networks of dynamic systems /
Verhaegen, M.
Data driven identification of networks of dynamic systems /
Michel Verhaegen, Chengpu Yu, Baptiste Sinquin. - 1 online resource (xviii, 267 pages) :digital, PDF file(s).
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.
ISBN: 9781009026338 (ebook)Subjects--Topical Terms:
997150
System analysis
--Mathematics.
LC Class. No.: QA402 / .V468 2022
Dewey Class. No.: 003/.85
Data driven identification of networks of dynamic systems /
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