Identification of Stochastic Max-Plus-Linear Systems
Reference
T.J.J. van den Boom,
B. De Schutter, and
V. Verdult,
"Identification of Stochastic Max-Plus-Linear Systems," Proceedings of the 2003 European Control Conference
(ECC'03), Cambridge, UK, 6 pp., Sept. 2003. Paper 104.
Abstract
We present a method to identify the parameters of a state space model
for a max-plus-linear discrete event system from measured data.
Previous papers report on results with noise-free measured data. In
this paper we extend this to identification for perturbed
max-plus-linear systems in a stochastic setting. The approach is based
on recasting the identification problem as an optimization problem. We
show that under quite general conditions the resulting optimization
problems can be solved very efficiently using gradient search
techniques.
Downloads
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Bibtex entry
@inproceedings{vanDeS:02-025,
author={T.J.J. van den Boom and B. {D}e Schutter and V. Verdult},
title={Identification of Stochastic Max-Plus-Linear Systems},
booktitle={Proceedings of the 2003 European Control Conference (ECC'03)},
address={Cambridge, UK},
month=sep,
year={2003},
note={Paper 104}
}
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