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Identification of Hybrid Systems via Mixed-Integer Programming
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
University of Siena, Italy.
2001 (English)In: Proceedings of the 40th IEEE Conference on Decision and Control, 2001, 786-792 vol.1 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper addresses the problem of identification of hybrid dynamical systems, by focusing the attention on hinging hyperplanes (HHARX) and wiener piecewise affine (W-PWARX) autoregressive exogenous models. In particular, we provide algorithms based on mixed-integer linear or quadratic programming which are guaranteed to converge to a global optimum. We also discuss issues of state-space realization of HHARX and W-PWARX models into several existing discrete-time hybrid state-space forms.

Place, publisher, year, edition, pages
2001. 786-792 vol.1 p.
Keyword [en]
Continuous time systems, Discrete systems, Identification, Quadratic programming
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-90801DOI: 10.1109/.2001.980202ISBN: 0-7803-7061-9 (print)OAI: oai:DiVA.org:liu-90801DiVA: diva2:616420
Conference
40th IEEE Conference on Decision and Control, Orlando, FL, USA, December, 2001
Available from: 2013-04-16 Created: 2013-04-07 Last updated: 2013-04-16

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Ljung, LennartRoll, Jacob

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