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Optimal sensor locations for nonparametric identification of viscoelastic materials
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. AUTOMATIC CONTROL.
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. AUTOMATIC CONTROL.
2005 (English)In: Proc. IFAC 16th World Congress, 2005Conference paper, Published paper (Refereed)
Abstract [en]

The problem of optimal excitation in nonparametric identification of viscoelastic materials is considered. The goal is to design the input spectrum in an optimal way, so that the average variance of the estimates is minimized. It is shown how the covariance matrix of the estimates can be expressed in terms of the input spectrum. This theory can also be used in order to identify the (unknown) excitation, used in a particular experiment, from measured strain data. Two scalar criteria connected to A- and D-optimal experiment design, are considered. The results indicate that the accuracy of the estimates can be greatly improved by applying an optimal input signal. Issues concerning the implementation of the achieved optimal input spectrum in live experiments are discussed briefly.

Place, publisher, year, edition, pages
2005.
Keyword [en]
Experiment design, nonparametric identification, viscoelastic materials
Identifiers
URN: urn:nbn:se:uu:diva-71410OAI: oai:DiVA.org:uu-71410DiVA: diva2:99321
Available from: 2006-12-22 Created: 2006-12-22

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Runqvist, AgnesSöderström, Torsten

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