Reference
B. De Schutter,
T. J. J. van den
Boom, and V. Verdult, "State space identification of max-plus-linear discrete
event systems from input-output data,"
Proceedings of the 41st
IEEE Conference on Decision and Control, Las Vegas, Nevada, pp.
4024-4029, Dec. 2002.
Abstract
We present a method to identify the parameters of a state space model for a
max-plus-linear discrete event system from input-output sequences. The approach
is based on recasting the identification problem as an optimization problem
over the solution set of an extended linear complementarity problem. Recently,
we have shown that such a problem can be solved much more efficiently than
previously by using a mixed integer programming approach. The resulting
algorithm allows us to identify a state space model of a max-plus-linear
discrete event system from input-output data. This method works for both
structured and fully parameterized state space identification. In addition, we
also obtain an estimate of the state sequence.
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BibTeX
@inproceedings{DeSvan:02-006,
author = {De Schutter, Bart and van den Boom, Ton J. J. and Verdult,
Vincent},
title = {State Space Identification of Max-Plus-Linear Discrete Event
Systems from Input-Output Data},
booktitle = {Proceedings of the 41st IEEE Conference on Decision and
Control},
address = {Las Vegas, Nevada},
pages = {4024--4029},
month = dec,
year = {2002}
}