A Modeling Framework for Model Predictive Scheduling Using Switching
Max-Plus Linear Models
Reference
T.J.J. van den Boom,
G.D. Lopes, and
B. De Schutter,
"A Modeling Framework for Model Predictive Scheduling Using Switching
Max-Plus Linear Models," Proceedings of the 52nd IEEE
Conference on Decision and Control, Florence, Italy, pp.
5456-5461, Dec. 2013.
Abstract
In this paper we discuss a modeling framework for model predictive
scheduling of a class of semi-cyclic discrete event systems that can
be described by switching max-plus linear models. We study the
structure of the system matrices and derive how routing, ordering, and
synchronization can be manipulated by a set of control variables. In
addition, we show that this leads to a system matrix that is linear in
the control variables. We define the model predictive scheduling
design problem to optimize the schedule, and we show that the problem
can be recast as a mixed integer linear programming (MILP) problem.
Downloads
- Corresponding technical report:
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Bibtex entry
@inproceedings{vanLop:13-040,
author={T.J.J. van den Boom and G.D. Lopes and B. {D}e Schutter},
title={A Modeling Framework for Model Predictive Scheduling Using Switching
Max-Plus Linear Models},
booktitle={Proceedings of the 52nd IEEE Conference on Decision and Control},
address={Florence, Italy},
pages={5456--5461},
month=dec,
year={2013}
}
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