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Identification of Hybrid Systems: Global Convergence via Mixed-Integer Programming

Author(s):

A. Bemporad
Conference/Journal:

vol. AUT00-28
Abstract:

This paper addresses the problem of identification of hybrid dynamical systems, by focusing the attention on piecewise affine (PWARX) and hinging hyperplanes (HHARX) autoregressive exogenous models. In particular, for the latter class we provide an algorithm based on mixed-integer linear or quadratic programming which, contrarily to former approaches for estimation of hinging hyperplane models, converges to a global optimum. We also discuss issues of state-space realization of HHARX models into several existing discrete-time hybrid state-space forms. The goal is to be able to use on models estimated from data the hybrid tools recently developed by several authors for stability analysis, control synthesis, verification/safety analysis, and fault detection.

Further Information
Year:

2000
Type of Publication:

(04)Technical Report
Supervisor:



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% Autogenerated BibTeX entry
@TechReport { Xxx:2000:IFA_852,
    author={A. Bemporad},
    title={{Identification of Hybrid Systems: Global Convergence via
	  Mixed-Integer Programming}},
    institution={},
    year={2000},
    number={},
    address={},
    month=sep,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=852}
}
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