Developed Bi-Objective Predictive Control Modeling for Max-Plus Linear System
Lathifatul Aulia, Widowati, R. Heru Tjahjana, Sutrisno
Available Online 11 October 2020.
- https://doi.org/10.2991/assehr.k.201010.011How to use a DOI?
- Model Predictive Control, Inventory System, Supply Chain Management, Max-plus Algebra
- 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.
- 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 -