This paper investigates the event-triggered consensus of linear multiagent systems with periodic data sampling mechanisms, where random packet losses are taken into account. The random packet losses occur in communication links based on a certain probability, and it is subject to the Bernoulli distribution. A novel distributed control protocol is designed based on the combined measurement to achieve the mean square consensus. By using the Riccati inequalities and linear matrix inequalities, an event-triggered condition with fewer parameters is also designed to reduce the information updating number. The interaction among the control gain matrix, sampling interval, and packet losses probability is used to describe the consensus conditions. The maximum sampling interval is presented explicitly. It is shown that the advantages of the proposed event-triggered strategy with the data sampling mechanism can avoid the Zeno behavior of the systems and continuous monitoring of the states. The simulations are provided to verify the proposed control strategy.

中文翻译：

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具有数据采样和随机丢包的一般线性多智能体系统的事件触发共识

本文研究了具有周期性数据采样机制的线性多智能体系统的事件触发共识，其中考虑了随机数据包丢失。通信链路中随机丢包按一定概率发生，服从伯努利分布。基于组合测量设计了一种新颖的分布式控制协议，以实现均方一致性。利用Riccati不等式和线性矩阵不等式，还设计了一个参数较少的事件触发条件，以减少信息更新次数。控制增益矩阵、采样间隔和丢包概率之间的相互作用用于描述一致性条件。最大采样间隔被明确显示。结果表明，所提出的具有数据采样机制的事件触发策略的优点可以避免系统的 Zeno 行为和状态的连续监控。提供仿真来验证所提出的控制策略。