Identification of hybrid systems via mixed-integer programming

Bemporad, Alberto and Roll, Jacob and Ljung, Lennart Identification of hybrid systems via mixed-integer programming. In: Decision and Control Conference. IEEE, Orlando, Florida USA, December 2001, pp. 786-792. ISBN 0-7803-7061-9 (2001)

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Abstract

Addresses the problem of identification of hybrid dynamical systems, by focusing the attention on hinging hyperplanes and Wiener piecewise affine 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

Item Type:	Book Section
Identification Number:	https://doi.org/10.1109/.2001.980202
Uncontrolled Keywords:	Wiener piecewise affine autoregressive exogenous models; global optimum; hinging hyperplanes autoregressive exogenous models; hybrid dynamical systems; identification; mixed-integer programming; quadratic programming; autoregressive processes; continuous time systems; discrete systems; identification; integer programming; quadratic programming
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TJ Mechanical engineering and machinery
Research Area:	Computer Science and Applications
Depositing User:	Professor Alberto Bemporad
Date Deposited:	27 Jul 2011 09:09
Last Modified:	17 Jul 2014 12:47
URI:	http://eprints.imtlucca.it/id/eprint/585

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