论文标题
数据驱动的分布式事件触发网络系统的控制
Data-Driven Control of Distributed Event-Triggered Network Systems
论文作者
论文摘要
本文介绍了数据驱动的事件触发的控制，对一类未知的离散时间互连系统（又称网络系统）的控制。为此，我们首先提出基于周期性采样的新型分布式事件触发传输策略，根据该采样，通过利用离散的循环功能方法来得出基于模型的闭环网络系统的基于模型的稳定性标准。将基于模型的标准与最近在文献中开发的数据驱动的系统表示形式结合在一起，建立了以线性矩阵不平等（LMI）的形式表达的纯粹数据驱动的稳定性标准。同时，数据驱动的稳定性标准提出了一种用于共同设计事件触发系数矩阵的手段，并且仅使用一些离线收集的状态输入数据，反馈控制增益矩阵。最后，数值结果证实了所提出的分布式数据驱动的ET在切断数据传输和共同设计过程中的功效。
The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems (a.k.a. network systems). To this end, we start by putting forth a novel distributed event-triggering transmission strategy based on periodic sampling, under which a model-based stability criterion for the closed-loop network system is derived, by leveraging a discrete-time looped-functional approach. Marrying the model-based criterion with a data-driven system representation recently developed in the literature, a purely data-driven stability criterion expressed in the form of linear matrix inequalities (LMIs) is established. Meanwhile, the data-driven stability criterion suggests a means for co-designing the event-triggering coefficient matrix and the feedback control gain matrix using only some offline collected state-input data. Finally, numerical results corroborate the efficacy of the proposed distributed data-driven ETS in cutting off data transmissions and the co-design procedure.
