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Worst-case control-relevant identification
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
School of Mathematics, University of Leeds.
Faculty of Chemical Engineering, Åbo Akademi.
1995 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 31, no 12, p. 1799-1819Article in journal (Refereed) Published
Abstract [en]

This paper introduces the reader to several recent developments in worst-case identification motivated by various issues of modelling of systems from data for the purpose of robust control design. Many aspects of identification in H∞ and ℓ1 are covered including algorithms, convergence and divergence results, worst-case estimation of uncertainty models, model validation and control relevancy issues.

Place, publisher, year, edition, pages
1995. Vol. 31, no 12, p. 1799-1819
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-3474DOI: 10.1016/0005-1098(95)00106-3Local ID: 14da7dd0-7174-11db-962b-000ea68e967bOAI: oai:DiVA.org:ltu-3474DiVA: diva2:976332
Note

Godkänd; 1995; 20061111 (ysko)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-02-06Bibliographically approved

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