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Identification of Piecewise Affine Wiener Models via Mixed-Integer Programming
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2001 (English)In: Proceedings of the Third Conference on Computer Science and Systems Engineering, 2001, 297-304 p.Conference paper (Refereed)
Abstract [en]

Many successful tools have been proposed by several researchers for safety analysis, stability analysis, and control/scheduling synthesis for hybrid systems. However, one important area which has not received much attention in the hybrid systems community is the identication of piecewise affne systems. As a step in that direction, we present an algorithm for identifying piecewise affne Wiener models from input-output data. Two notable properties of the algorithm are that the globally optimal solution is found, and that the complexity is polynomial with respect to the number of data. The basic ideas of this algorithm can also be directly transfered to a larger class of piecewise affine systems.

Place, publisher, year, edition, pages
2001. 297-304 p.
Keyword [en]
Wiener models, Piecewise affine systems, System identification, Mixed-integer programming
National Category
Engineering and Technology Control Engineering
URN: urn:nbn:se:liu:diva-90793OAI: diva2:616437
Third Conference on Computer Science and Systems Engineering, Norrköping, Sweden, March, 2001
Available from: 2013-04-16 Created: 2013-04-07 Last updated: 2013-04-23

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Roll, Jacob
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