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Optimal Experimental Designs with Respect to the Intended Model Application
Australian National University, Australia.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1986 (English)In: Automatica, ISSN 0005-1098, Vol. 22, no 5, 543-554 p.Article in journal (Refereed) Published
Abstract [en]

The purpose of the design of identification experiments is to make the collected data maximally informative with respect to the intended use of the model, subject to constraints that might be at hand. When the true system is replaced by an estimated model, there results a performance degradation that is due to the error in the transfer function estimates. Using some recent asymptotic expressions for the bias and the variance of the estimated transfer function, it is shown how this performance degradation can be minimized by a proper experiment design. Several applications, where it is beneficial to let the experiment be carried out in closed loop, are highlighted.

Place, publisher, year, edition, pages
Elsevier, 1986. Vol. 22, no 5, 543-554 p.
Keyword [en]
Identification, Optimization, Frequency domain
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-100663DOI: 10.1016/0005-1098(86)90064-6OAI: diva2:663272
Available from: 2013-11-11 Created: 2013-11-11 Last updated: 2014-02-20

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ReferencesLink to record
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