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 2001 American Control Conference, Arlington, Virginia, pp. 325-330, June 2001.

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:


Bibtex entry:

@inproceedings{vanDeS:00-19,
author={T. van den Boom and B. {D}e Schutter},
title={{MPC} for max-plus-linear systems: Closed-loop behavior and tuning},
booktitle={Proceedings of the 2001 American Control Conference},
address={Arlington, Virginia},
pages={325--330},
month=jun,
year={2001}
}


Go to the publications overview page.

This page is maintained by Bart De Schutter. Last update: March 1, 2025.