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Event-triggered tracking consensus with packet losses and time-varying delays

机译:事件触发的跟踪共识,包括丢包和时变延迟

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This paper mainly investigates the event-triggered tracking control for leader-follower multi-agent systems with the problems of packet losses and time-varying delays when both the first-order and the second-order neighbors' information are used. Event-triggered control laws are adopted to reduce the frequency of individual actuation updating under the sampleddata framework for discrete-time agent dynamics. The communication graph is undirected and the loss of data across each communication link occurs at certain probability, which is governed by a Bernoulli process. One numerical example is given to demonstrate the effectiveness of the proposed methods. It is found that the tracking consensus is sped up by using the second-order neighbors' information when packet losses and time-varying delays occur.
机译:本文主要研究领导者跟随多智能体系统的事件触发跟踪控制,当同时使用一阶和二阶邻居信息时存在丢包和时变时延的问题。在离散数据代理动力学的采样数据框架下,采用事件触发的控制律来减少单个致动更新的频率。通信图是无向的,并且每个通信链路上的数据丢失都以一定的概率发生,这由伯努利过程控制。数值例子说明了所提方法的有效性。可以发现,当发生丢包和时变时延时,利用二阶邻居的信息可以加快跟踪一致性。

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