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Two algorithms for model quality estimation in state-space systems with time-varying parameter uncertainty
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
2008 (English)In: 2008 American Control Conference: Seattle, WA, 11 - 13 June 2008 ; [annual conference of the American Automatic Control Council], Piscataway, NJ: IEEE Communications Society, 2008, 4809-4814 p.Conference paper (Refereed)
Abstract [en]

We present two methods to estimate bounds of parameter uncertainty in state-space systems. In the first method, we minimize the l∞-norm of the perturbation and its derivative. In the second method, an estimate of the perturbation is produced based on a quantized approximation of the uncertainty and the sparse structure of its derivative. Less sensitivity to increased noise and changed model parameters is achieved by the second method. We use an overhead crane as an illustrative example.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2008. 4809-4814 p.
Research subject
Control Engineering
URN: urn:nbn:se:ltu:diva-37149DOI: 10.1109/ACC.2008.4587255Local ID: b12f4df0-6ebb-11dd-8151-000ea68e967bISBN: 978-1-4244-2078-0OAI: diva2:1010647
American Control Conference : 11/06/2008 - 13/06/2008
Modellering av komplexa dynamiska system
Godkänd; 2008; 20080820 (soheil)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

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Salehpour, SoheilJohansson, Andreas
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