The Consensus Research on a Class of Event-Triggered Multi-Agent System

Yunbo Yang, Na Liu, Sitian Qin
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Abstract

This paper studies the properties of a class of multi- agent systems. First of all, this article lists some symbols and lemmas to be used afterwards. The first main part of this article studies a class of continuous-time multi-agent systems with event-trigger mechanism and gives its consensus analysis by applying Lyapunov method. At the same time, this article also gives a modified trigger mechanism, consisting of both time intervals and event-trigger intervals for this kind of continuous system. And it is proved that under the proposed trigger mechanism, the state solutions of the given system can finally reach a consensus and the Zeno effect does not appear. Moreover, the problem of average consensus of differential privacy is also studied with an event-trigger mechanism in a discrete-time multi-agent system. The consensus and accuracy of this discrete system in the sense of mean square is studied. Through the research, it is concluded that the output states of the discrete system under the given event-trigger mechanism finally reach a consensus in the mean square sense, and the state solutions converge to the weighted average of the initial state. At the end of this paper, numerical simulations are made to illustrate the feasibility of the algorithm of this paper in practice.
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一类事件触发多智能体系统的一致性研究
研究了一类多智能体系统的性质。首先,本文列举了一些以后要用到的符号和引理。本文的第一部分主要研究了一类具有事件触发机制的连续时间多智能体系统,并应用李雅普诺夫方法对其一致性进行了分析。同时,本文还针对这类连续系统给出了一种改进的触发机制,包括时间间隔和事件触发间隔。并证明了在所提出的触发机制下,给定系统的状态解最终能够达成共识,不出现芝诺效应。此外,还研究了离散时间多智能体系统中基于事件触发机制的差分隐私的平均共识问题。研究了该离散系统在均方意义下的一致性和精度。通过研究得出,在给定的事件触发机制下,离散系统的输出状态最终在均方意义上达到一致,状态解收敛于初始状态的加权平均。最后通过数值仿真说明了本文算法在实际应用中的可行性。
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