2020
DOI: 10.1049/iet-cta.2019.0865
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Decentralised finite‐time consensus for second‐order multi‐agent system under event‐triggered strategy

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Cited by 9 publications
(4 citation statements)
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“…Remark 3 Consider the event-triggered mechanism and finite-time consensus [19,20,22,25,27] and the event-triggered mechanism and the problem of unmeasurable state [28,29,31,32,34] in the literature. The problems of unmeasurable state and convergence within finite time are also considered in [35].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Remark 3 Consider the event-triggered mechanism and finite-time consensus [19,20,22,25,27] and the event-triggered mechanism and the problem of unmeasurable state [28,29,31,32,34] in the literature. The problems of unmeasurable state and convergence within finite time are also considered in [35].…”
Section: Resultsmentioning
confidence: 99%
“…However, the eventtriggered consensus in the literature represents an asymptotic consensus. As the fractional power term is present in the finite-time controller, the finite-time consensus has better robustness and anti-interference than the asymptotic consensus [19][20][21][22]. In [23], the finite-time consensus problem of leaderless and leader-follower MAS was investigated, and two new nonlinear consensus protocols were proposed to substantially reduce communication cost and controller update frequency.…”
Section: Introductionmentioning
confidence: 99%
“…Such time‐triggered systems cannot avoid continuous communication and updating of the controller, which may result in the waste of network resources and unnecessary energy consumption [26, 27]. The event‐triggered control scheme provides an effective way to overcome these constraints, and many instructive results have been obtained [28, 29]. In [30], the consensus problem of linear multi‐agent systems was investigated via distributed event‐triggered adaptive control.…”
Section: Introductionmentioning
confidence: 99%
“…Up to now, the second‐order dynamic research of MASs has been paid recently much attention to due to practical application in real complex systems where all the state information of position and velocity can be taken into account simultaneously [1–3, 10, 12, 13]. On the other hand, the dynamic behaviour of each agent is influenced not only by other agents but also by its own internal dynamic characteristics [14].…”
Section: Introductionmentioning
confidence: 99%