A Least Squares Method for Identification of Feedback Cascade Systems

QC 20160318
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.

Rojas, CristianKTH,Reglerteknik,ACCESS Linnaeus Centre(Swepub:kth)u10v97p2 (författare)
Hjalmarsson, HåkanKTH,Reglerteknik,ACCESS Linnaeus Centre(Swepub:kth)u10a8l40 (författare)
KTHReglerteknik (creator_code:org_t)

Ingår i:17th IFAC Symposium on System Identification SYSID 2015 — Beijing, China, 19–21 October 2015: IFAC Papers Online, s. 98-103
Ingår i:IFAC-PapersOnLine: IFAC Papers Online, s. 98-1032405-8963

Av författaren/redakt...: Galrinho, Miguel; Rojas, Cristian; Hjalmarsson, Håk ...

Om ämnet

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Elektroteknik oc ...; och Reglerteknik

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