Reference
T. van den Boom and B. De Schutter, "Model predictive control for randomly
switching max-plus-linear systems using a scenario-based algorithm,"
Proceedings of the 49th IEEE Conference on Decision and
Control, Atlanta, Georgia, pp. 2298-2303, Dec. 2010.
Abstract
Switching max-plus-linear (SMPL) systems are discrete event systems that can
switch between different modes of operation. In each mode the system is
described by a max-plus-linear state equation and a max-plus-linear output
equation, with different system matrices for each mode. The switching between
from one mode to the other is a stochastic process. In the model predictive
control (MPC) formulation stability is enforced by additional constraints. To
reduce the computational complexity we use an algorithm based on scenario
generation for such stochastic SMPL systems.
Downloads
BibTeX
@inproceedings{vanDeS:10-050,
author = {van den Boom, Ton and De Schutter, Bart},
title = {Model Predictive Control for Randomly Switching Max-Plus-Linear
Systems Using a Scenario-Based Algorithm},
booktitle = {Proceedings of the 49th IEEE Conference on Decision and
Control},
address = {Atlanta, Georgia},
pages = {2298--2303},
month = dec,
year = {2010}
}