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A Convergent Iterative Restricted Complexity Control Design Scheme
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Louvain University, Belgium.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1994 (English)In: Proceedings of the 33rd IEEE Conference on Decision and Control, 1994, 1735-1740 vol.2 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this contribution we propose an optimization approach to the design of a restricted complexity controller. The design criterion is of LQG type containing two terms. The first term is the quadratic norm of the error between the output of the true closed loop and a desired response. The second term is the quadratic norm of the input signal. It is shown that the minimization of this criterion does not require a model of the system. Closed loop experimental data can be used instead. The result is an iterative scheme of closed loop experiments and controller updates which converges to a local minimum of the design criterion under the condition of bounded signals.

Place, publisher, year, edition, pages
1994. 1735-1740 vol.2 p.
Keyword [en]
Iterative feedback tuning, Closed loop systems, Optimal control, Iteration
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-94115DOI: 10.1109/CDC.1994.411185ISBN: 0-7803-1968-0 (print)OAI: oai:DiVA.org:liu-94115DiVA: diva2:629278
Conference
33rd IEEE Conference on Decision and Control, Lake Buena Vista, FL, USA, December, 1994
Available from: 2013-06-16 Created: 2013-06-16 Last updated: 2013-08-09

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Gunnarsson, Svante

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  • nn-NB
  • sv-SE
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Output format
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  • asciidoc
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