论文标题
蒙特卡洛树搜索在周期性的时间表设计中的应用，用于网络控制系统
Application of Monte Carlo Tree Search in Periodic Schedule Design for Networked Control Systems
论文作者
论文摘要
我们分析了由$ n $独立的线性反馈控制循环组成的网络控制系统的闭环控制性能，并共享具有$ m $ channels（$ m <n $）的通信网络。采用定期通信序列的调度协议的集中调度程序决定了哪些反馈循环应利用所有这些渠道。在定期调度协议下，我们得出分析表达式，以根据二次函数量化网络控制系统的整体控制性能。我们还为给定的线性反馈控制子系统集合的通信序列制定了离线组合优化。然后，我们应用蒙特卡洛树搜索，以确定这些通信序列的周期，这些序列获得了近乎最佳的控制性能。通过数值研究，我们显示了提出的框架的有效性。
We analyze the closed-loop control performance of a networked control system that consists of $N$ independent linear feedback control loops, sharing a communication network with $M$ channels ($M<N$). A centralized scheduler, employing a scheduling protocol that produces periodic communication sequences, dictates which feedback loops should utilize all these channels. Under the periodic scheduling protocol, we derive analytical expressions for quantifying the overall control performance of the networked control system in terms of a quadratic function. We also formulate the offline combinatorial optimization of communication sequences for a given collection of linear feedback control subsystems. Then, we apply Monte Carlo Tree Search to determine the period of these communication sequences that attain near-optimal control performance. Via numerical studies, we show the effectiveness of the proposed framework.
