IEICE TRANSACTIONS on Fundamentals
Online Model Predictive Control for Max-Plus Linear Systems with Selective Parameters
Summary :
We develop an algorithm for a controller design method for Max-Plus Linear (MPL) systems with selective parameters. Since the conventional algorithm we proposed requires high computational load when the prediction horizon is large, two methods for reducing the calculation time are proposed. One is based upon the branch-and-bound method, and the other is to reuse the optimal solution. The effectiveness of these two methods is confirmed through numerical simulation.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E87-A No.11 pp.2944-2949
- Publication Date
- 2004/11/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section LETTER (Special Section on Concurrent Systems and Hybrid Systems)
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Hiroyuki GOTO, Shiro MASUDA, "Online Model Predictive Control for Max-Plus Linear Systems with Selective Parameters" in IEICE TRANSACTIONS on Fundamentals,
vol. E87-A, no. 11, pp. 2944-2949, November 2004, doi: .
Abstract: We develop an algorithm for a controller design method for Max-Plus Linear (MPL) systems with selective parameters. Since the conventional algorithm we proposed requires high computational load when the prediction horizon is large, two methods for reducing the calculation time are proposed. One is based upon the branch-and-bound method, and the other is to reuse the optimal solution. The effectiveness of these two methods is confirmed through numerical simulation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e87-a_11_2944/_p
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@ARTICLE{e87-a_11_2944,
author={Hiroyuki GOTO, Shiro MASUDA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Online Model Predictive Control for Max-Plus Linear Systems with Selective Parameters},
year={2004},
volume={E87-A},
number={11},
pages={2944-2949},
abstract={We develop an algorithm for a controller design method for Max-Plus Linear (MPL) systems with selective parameters. Since the conventional algorithm we proposed requires high computational load when the prediction horizon is large, two methods for reducing the calculation time are proposed. One is based upon the branch-and-bound method, and the other is to reuse the optimal solution. The effectiveness of these two methods is confirmed through numerical simulation.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - Online Model Predictive Control for Max-Plus Linear Systems with Selective Parameters
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2944
EP - 2949
AU - Hiroyuki GOTO
AU - Shiro MASUDA
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E87-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2004
AB - We develop an algorithm for a controller design method for Max-Plus Linear (MPL) systems with selective parameters. Since the conventional algorithm we proposed requires high computational load when the prediction horizon is large, two methods for reducing the calculation time are proposed. One is based upon the branch-and-bound method, and the other is to reuse the optimal solution. The effectiveness of these two methods is confirmed through numerical simulation.
ER -
English
