MPC for Max-Plus-Linear Systems: Closed-Loop Behavior and Tuning
Reference
T. van den Boom and
B. De Schutter,
"MPC for Max-Plus-Linear Systems: Closed-Loop Behavior and Tuning,"
Proceedings of the Workshop on Systems with
Time-Domain Constraints, Eindhoven, The Netherlands, 18 pp.,
Aug.-Sept. 2000.
Abstract
Model predictive control (MPC) is a very popular controller design
method in the process industry. One of the main advantages of MPC is
that it can handle constraints on the inputs and outputs. Usually MPC
uses linear discrete-time models. Recently we have extended this
framework to max-plus-linear discrete event systems. In this paper we
further explore this topic. More specifically, we focus on the
closed-loop behavior and on the tuning aspects of MPC for
max-plus-linear discrete event systems.
Downloads
- Corresponding technical report:
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Bibtex entry
@inproceedings{vanDeS:00-11,
author={T. van den Boom and B. {D}e Schutter},
title={{MPC} for Max-Plus-Linear Systems: {C}losed-Loop Behavior and
Tuning},
booktitle={Proceedings of the Workshop on Systems with Time-Domain
Constraints},
address={Eindhoven, The Netherlands},
month=aug # {--} # sep,
year={2000}
}
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Last update: February 21, 2026.