Risk-Averse Model Predictive Control for Priced Timed Automata

Autor:	Anbarani, Mostafa Tavakkoli, Balta, Efe C., Meira-Góes, Rômulo, Kovalenko, Ilya
Rok vydání:	2022
Předmět:	Electrical Engineering and Systems Science - Systems and Control
Druh dokumentu:	Working Paper
Popis:	In this paper, we propose a Risk-Averse Priced Timed Automata (PTA) Model Predictive Control (MPC) framework to increase flexibility of cyber-physical systems. To improve flexibility in these systems, our risk-averse framework solves a multi-objective optimization problem to minimize the cost and risk, simultaneously. While minimizing cost ensures the least effort to achieve a task, minimizing risk provides guarantees on the feasibility of the task even during uncertainty. Our framework explores the trade-off between these two qualities to obtain risk-averse control actions. The solution of risk-averse PTA MPC dynamic decision-making algorithm reacts relatively better to PTA changes compared to PTA MPC without risk-averse feature. An example from manufacturing systems is presented to show the application of the proposed control strategy. Comment: 7 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2210.15604 Zobrazit plný text záznamu View this record from Arxiv