2016
DOI: 10.1109/tie.2016.2584009
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Clustered Event-Triggered Consensus Analysis: An Impulsive Framework

Abstract: This paper proposes an impulsive framework to analyze the effect of the clustered event-triggered information transmission on the dynamics of multi-agent systems. Under this framework, we study three cases and propose different types of event-triggered protocols. Firstly, if agents' states are available, a clustered event-triggered protocol based on agents' states is designed, which guarantees all followers to track the leader eventually. Secondly, the first case is further investigated when the agents' states… Show more

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Cited by 106 publications
(25 citation statements)
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“…Group consensus, as an extension of consensus, is very suitable for multitasks and large-scale problems. Up to now, there are many results for consensus or group consensus [7][8][9][10][11][12][13][14][15][16][17][18]. On the other hand, the controllability problem of multiagent systems has attracted great interests and concern since Tanner proposed it in 2004.…”
Section: Introductionmentioning
confidence: 99%
“…Group consensus, as an extension of consensus, is very suitable for multitasks and large-scale problems. Up to now, there are many results for consensus or group consensus [7][8][9][10][11][12][13][14][15][16][17][18]. On the other hand, the controllability problem of multiagent systems has attracted great interests and concern since Tanner proposed it in 2004.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, event-triggered control has attracted tremendous attention [28][29][30][31]. The strategies in [28] and [29] were based on the sampling data for complex networks and formation control of multiagent systems, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…Ref. [30] proposed an impulsive framework to analyse the clustered event-triggered consensus. But clusters considered in [30] had no coupling between two clusters and the whole system had only one leader, thus complete consensus was achieved for multi-agent systems.…”
Section: Introductionmentioning
confidence: 99%
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“…Stabilization of linear and nonlinear and even PDE systems has been analysed in [15][16][17][18][19][20][21], where the events are given by changes in a Lyapunov function or the time derivative of a Lyapunov function (and consequently also in the state). Event-based scheme has also been proposed for multi-agents systems to achieve a consensus while avoiding unnecessary communication and control update, as in [22][23][24][25][26]. Another important issue for event-based control theory is the Zeno phenomenon (where an infinite number of events occur during a finite length of time).…”
mentioning
confidence: 99%