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On Methods for Gradient Estimation in IFT for MIMO Systems
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Royal Institute of Technology, Sweden.
Royal Institute of Technology, Sweden.
2002 (English)In: Proceedings of 15th IFAC World Congress, 2002, 1047-1047 p.Conference paper, Published paper (Refereed)
Abstract [en]

Iterative feedback tuning (IFT) is a model free control tuning method using closed loop experiments. For single-input single-output (SISO) systems only 2 or 3, depending on the controller structure, closed loop experiments are required. However for multivariable systems the number of experiments increase to a maximum of 1 + m times p, where m times p is the dimension of the controller. In this contribution several methods are proposed to reduce the experimental time by approximating the gradient of the cost function. The local convergence for a method which uses the same technique as in IFT for SISO systems is analyzed. It is shown that even if there are commutation errors due to the approximation method, the numerical optimization may still converge to the true optimum.

Place, publisher, year, edition, pages
2002. 1047-1047 p.
Keyword [en]
Multivariable, Non-model based control
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-90283DOI: 10.3182/20020721-6-ES-1901.01049ISBN: 978-3-902661-74-6 (print)OAI: oai:DiVA.org:liu-90283DiVA: diva2:613789
Conference
15th IFAC World Congress, Barcelona, Spain, July, 2002
Available from: 2013-04-02 Created: 2013-03-24 Last updated: 2013-04-02

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Hansson, Anders

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Citation style
  • apa
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf