Reference
J. Xu, B. De Schutter, and
T. J. J.
van den Boom, "Model predictive control for max-plus-linear systems via
optimistic optimization,"
Proceedings of the 12th IFAC/IEEE
Workshop on Discrete Event Systems, Cachan, France, pp. 111-116, May
2014.
Abstract
The model predictive control problem for max-plus-linear discrete-event systems
generally leads to a nonlinear optimization problem, which may be hard to solve
efficiently. In this paper, we propose to apply optimistic optimization to
resolve this problem. The algorithm builds a tree where each selected control
sequence corresponds to a node of the tree. An optimistic exploration of the
tree is implemented, where the most promising control sequences are explored
first. We give an example to illustrate the effectiveness of the method.
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BibTeX
@inproceedings{XuDeS:14-029,
author = {Xu, Jia and De Schutter, Bart and van den Boom, Ton J. J.},
title = {Model Predictive Control for Max-Plus-Linear Systems via
Optimistic Optimization},
booktitle = {Proceedings of the 12th IFAC/IEEE Workshop on Discrete Event
Systems},
address = {Cachan, France},
pages = {111--116},
month = may,
year = {2014}
}