Reference
T. J. J. van den Boom and B. De
Schutter, "MPC for perturbed max-plus-linear systems,"
Proceedings of the European Control Conference 2001 (ECC'01),
Porto, Portugal, pp. 3783-3788, Sept. 2001.
Abstract
Model predictive control (MPC) is a popular controller design technique in the
process industry. Conventional MPC uses (non)linear discrete-time models.
Recently we have extended MPC to a class of discrete event systems that can be
described by a model that is linear in the (max,+) algebra. Up to now we have
only considered the deterministic noise-free case without modeling errors. In
this paper we extend our previous results to cases with noise and/or modeling
errors. We show that under quite general conditions the resulting optimization
problem can be solved very efficiently.
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BibTeX
@inproceedings{vanDeS:00-14,
author = {van den Boom, Ton J. J. and De Schutter, Bart},
title = {{MPC} for Perturbed Max-Plus-Linear Systems},
booktitle = {Proceedings of the European Control Conference 2001 (ECC'01)},
address = {Porto, Portugal},
pages = {3783--3788},
month = sep,
year = {2001}
}