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From experiment design to closed-loop control
KTH, School of Electrical Engineering (EES), Automatic Control. (System Identification Group)ORCID iD: 0000-0002-9368-3079
2005 (English)In: Automatica, ISSN 0005-1098, Vol. 41, no 3, 393-438 p.Article in journal (Refereed) Published
Abstract [en]

The links between identification and control are examined. The main trends in this research area are summarized, with particular focus on the design of low complexity controllers from a statistical perspective. It is argued that a guiding principle should be to model as well as possible before any model or controller simplifications are made as this ensures the best statistical accuracy. This does not necessarily mean that a full-order model always is necessary as well designed experiments allow for restricted complexity models to be near-optimal. Experiment design can therefore be seen as the key to successful applications. For this reason, particular attention is given to the interaction between experimental constraints and performance specifications.

Place, publisher, year, edition, pages
2005. Vol. 41, no 3, 393-438 p.
Keyword [en]
identification for control, statistical analysis, experiment design, model validation, adaptive robust-control, asymptotic variance expressions, h-infinity identification, error parameter-estimation, system-identification, nonlinear-systems, iterative identification, model validation, recursive algorithms, orthonormal bases
National Category
Control Engineering
Research subject
URN: urn:nbn:se:kth:diva-14533DOI: 10.1016/j.automatica.2004.11.021ISI: 000227020600004ScopusID: 2-s2.0-13244290166OAI: diva2:332574
QC 20100525 QC 20111012. nces: 195 [ view related records ] Citation MapCitation Map Conference: 13th IFAC Symposium on System Identification (SYSID). ROTTERDAM, NETHERLANDS. AUG 27-29, 2003 Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2012-01-19Bibliographically approved

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