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A Least Squares Met...
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Galrinho, MiguelKTH,Reglerteknik,ACCESS Linnaeus Centre
(author)
A Least Squares Method for Identification of Feedback Cascade Systems
- Article/chapterEnglish2015
Publisher, publication year, extent ...
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IFAC Papers Online,2015
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:kth-179574
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-179574URI
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https://doi.org/10.1016/j.ifacol.2015.12.107DOI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:kon swepub-publicationtype
Notes
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QC 20160318
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The problem of identification of systems in dynamic networks is considered. Although the prediction error method (PEM) can be applied to the overall system, the non-standard model structure requires solving a non-convex optimization problem. Alternative methods have been proposed, such as instrumental variables and indirect PEM. In this paper, we first consider acyclic cascade systems, and argue that these methods have different ranges of applicability. Then, for a network with feedback connection, we propose an approach to deal with the fact that indirect PEM yields a non-convex problem in that case. A numerical simulation may indicate that this approach is competitive with other existing methods.
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Rojas, CristianKTH,Reglerteknik,ACCESS Linnaeus Centre(Swepub:kth)u10v97p2
(author)
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Hjalmarsson, HåkanKTH,Reglerteknik,ACCESS Linnaeus Centre(Swepub:kth)u10a8l40
(author)
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KTHReglerteknik
(creator_code:org_t)
Related titles
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In:17th IFAC Symposium on System Identification SYSID 2015 — Beijing, China, 19–21 October 2015: IFAC Papers Online, s. 98-103
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In:IFAC-PapersOnLine: IFAC Papers Online, s. 98-1032405-8963
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