论文标题
定价定时自动机的风险规避模型预测控制
Risk-Averse Model Predictive Control for Priced Timed Automata
论文作者
论文摘要
在本文中，我们提出了一个定价定价的定时自动机预测控制（MPC）框架，以提高网络物理系统的灵活性。为了提高这些系统的灵活性，我们的规避风险框架解决了一个多目标优化问题，以同时最大程度地减少成本和风险。尽管最小化成本可以确保完成任务的努力最少，但最小化风险即使在不确定性期间也可以保证任务的可行性。我们的框架探讨了这两种素质之间的权衡，以获得规避风险的控制措施。与PTA MPC相比，对于PTA MPC而言，避免风险的PTA MPC动态决策算法的解决方案反应相对较好。提出了制造系统的一个示例，以显示拟议的控制策略的应用。
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.
