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Date
2023Type
- Conference Paper
ETH Bibliography
yes
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Abstract
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. Show more
Publication status
publishedExternal links
Book title
2023 American Control Conference (ACC)Pages / Article No.
Publisher
IEEEEvent
Subject
Model Predictive Control; Risk-Averse; Flexibility; Priced Timed AutomatonOrganisational unit
03751 - Lygeros, John / Lygeros, John
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ETH Bibliography
yes
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