Proceedings of the 2nd International Seminar on Science and Technology (ISSTEC 2019)

Developed Bi-Objective Predictive Control Modeling for Max-Plus Linear System

Authors
Lathifatul Aulia, Widowati, R. Heru Tjahjana, Sutrisno
Corresponding Author
Lathifatul Aulia
Available Online 11 October 2020.
DOI
https://doi.org/10.2991/assehr.k.201010.011How to use a DOI?
Keywords
Model Predictive Control, Inventory System, Supply Chain Management, Max-plus Algebra
Abstract
Known to that MPC (Model Predictive Control) for MPL (Max Plus Linear System) is a practical approach to design optimal input sequences for a specific class of discrete event systems. Discrete event systems (DES) are dynamical which evolve in time by the occurrence of events at possibly irregular time intervals. The development of control acquired control problem for supply chain management by developing a mathematical model for a multi-echelon system. A combination of model predictive control and economic model predictive control called Bi-objective Model Predictive Control. Adaptive Weighted Sum or called AWS method is used to design a bi-objective optimization problem by combining these two control and the method can effectively solve the bi-objective optimization problem. The AWS method could stabilize a system with more cost-effective inputs when it is compared with model predictive control and show that the control can stabilize a wider range of initial state when it is compared to economic model predictive control. In this paper, we do development Bi-objective Model Predictive Control for Max Plus Linear system. Based MPC for MPL systems, we model Bi-objective model predictive control by introducing maximal additive algebraic theory to developing bi-objective predictive control an optimal strategy. Therefore the model predictive control based on the max-plus theory has important theoretical and practical significance for systems with guaranteed stability, thoroughness, and robustness.
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Proceedings
The 2nd International Seminar on Science and Technology (ISSTEC 2019)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
11 October 2020
ISBN
978-94-6239-168-0
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.201010.011How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lathifatul Aulia
AU  - Widowati
AU  - R. Heru Tjahjana
AU  - Sutrisno
PY  - 2020
DA  - 2020/10/11
TI  - Developed Bi-Objective Predictive Control Modeling for Max-Plus Linear System
BT  - The 2nd International Seminar on Science and Technology (ISSTEC 2019)
PB  - Atlantis Press
SP  - 63
EP  - 70
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201010.011
DO  - https://doi.org/10.2991/assehr.k.201010.011
ID  - Aulia2020
ER  -