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Event-Triggered Consensus for Linear Continuous-time Multi-agent Systems Based on a Predictor

机译:线性连续时间多智能体系统的事件触发共识   基于预测器

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摘要

In this paper, the problem of event-triggered consensus for linearcontinuous-time multi-agent systems is investigated. A new event-triggeredconsensus protocol based on a predictor is proposed to achieve consensuswithout continuous communication among agents. In the proposed consensusprotocol, each agent only needs to monitor its states to determine itsevent-triggered instants. When an event is triggered, the agent will update itsconsensus protocol and sent its state information to its neighbors. Inaddition, the agent will also update its consensus protocol and the predictorwhen it receives the state information from its neighbors. A necessary andsufficient condition that the consensus problem can be solved is derived.Moreover, it is proved that Zeno behavior does not exist. Finally, a numericalexample is given to illustrate that the protocol proposed in this paper canmake the multi-agent systems achieve consensus through much fewerevent-triggered times.
机译:本文研究了线性连续时间多智能体系统的事件触发共识问题。提出了一种基于预测变量的新的事件触发共识协议,以实现代理之间无需连续通信的共识。在提议的共识协议中,每个代理仅需监视其状态即可确定其事件触发的瞬间。触发事件后,代理将更新其共识协议,并将其状态信息发送给其邻居。另外,当代理从邻居接收状态信息时,它还将更新其共识协议和预测器。得出了可以解决共识问题的充要条件。此外,证明了芝诺行为不存在。最后,通过数值例子说明了本文提出的协议可以使多智能体系统通过更少的事件触发时间达成共识。

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