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Optimality and sub-optimality of iterative identification and control design schemes
Université Catholique de Louvain.ORCID iD: 0000-0002-9368-3079
Department of Electrical Engineering, Linköping University. (Reglerteknik, Automatic Control)
Université Catholique de Louvain.
1995 (English)In: Proceedings of the American Control Conference, Seattle, WA, USA, 1995, Vol. 4, 2559-2563 p.Conference paper (Refereed)
Abstract [en]

We demonstrate that some recently proposed iterative identification and control design schemes do not necessarily converge to a local minimum of the design objective in the case of a restricted complexity model. There is, however, a link between these approaches and a recently proposed iterative optimization based control design procedure based on experimental data. We show that if the achieved and the desired output responses are perfectly matched, the schemes are (essentially) equivalent under noise free conditions.

Place, publisher, year, edition, pages
Seattle, WA, USA, 1995. Vol. 4, 2559-2563 p.
, Proceedings of the 1995 American Control Conference. Part 1 (of 6)
Keyword [en]
Closed loop control systems, Control system synthesis, Convergence of numerical methods, Degrees of freedom (mechanics), Feedback, Identification (control systems), Iterative methods, Mathematical models, Optimization, Random processes, Noise free conditions, Optimality, Sub-optimality, Optimal control systems
National Category
Control Engineering
Research subject
URN: urn:nbn:se:kth:diva-60592DOI: 10.1109/ACC.1995.532309OAI: diva2:477522
Sponsors: AACC NR 20140805Available from: 2012-01-13 Created: 2012-01-13 Last updated: 2012-01-13Bibliographically approved

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Hjalmarsson, Håkan
Control Engineering

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ReferencesLink to record
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