2018
DOI: 10.1109/tcyb.2017.2716970
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Event-Triggered Communication for Leader-Following Consensus of Second-Order Multiagent Systems

Abstract: This paper is concerned with leader-following consensus of second-order multiagent systems with nonlinear dynamics. First, to save the limited communication resources, a new event-triggered control protocol is delicately developed without requiring continuous communication among the follower agents. Then, by employing the Lyapunov functional method and the Kronecker product technique, a novel sufficient criterion with less conservation is derived to guarantee the leader-following consensus while excluding the … Show more

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Cited by 193 publications
(75 citation statements)
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“…Comparing with the consensus static control protocol in [18], [19], [21] and [22], a dynamic controller in (6) is considered. The dynamic consensus law depends on the estimating [19], [21] and [22]. In this paper, the matrix A in (1) and (2) is not Hurwitz, which even allows to have roots with positive real parts.…”
Section: Distributed Event-triggered Control Over the Directed Topologymentioning
confidence: 99%
See 3 more Smart Citations
“…Comparing with the consensus static control protocol in [18], [19], [21] and [22], a dynamic controller in (6) is considered. The dynamic consensus law depends on the estimating [19], [21] and [22]. In this paper, the matrix A in (1) and (2) is not Hurwitz, which even allows to have roots with positive real parts.…”
Section: Distributed Event-triggered Control Over the Directed Topologymentioning
confidence: 99%
“…In order to reduce the communication burden caused by continuous communication between agents, some event-triggered control schemes were proposed in [18][19][20][21][22][23][24][25][26][27]. The control actuation is triggered whenever a certain error becomes large enough to violate the threshold.…”
Section: Introductionmentioning
confidence: 99%
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“…For multi-agent average consensus tasks, self-triggered algorithms in [19], [20] and an eventtriggered broadcasting algorithm in [21] have been shown to reduce the amount of communication and the amount of communication power consumed during the task. In [23], [24], the communication power consumed was shown to be reduced for a leader-follower consensus problem using an event-triggered algorithm. The most relevant to this paper is the work involving event-, self-or team-triggered strategies applied to the deployment problem.…”
mentioning
confidence: 99%