2018
DOI: 10.1002/rnc.4227
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Distributed integral‐type event‐triggered synchronization of multiagent systems

Abstract: Summary This paper investigates the synchronization problem of generic linear multiagent systems via integral‐type event‐triggered control. Each agent can only utilize the intermittent information of its neighboring agents in the control scheme. Based on the integral‐type event conditions, an event‐triggered control protocol is designed to guarantee the synchronization of multiagent systems, and Zeno behavior is excluded by showing the existence of a positive lower bound on the inter‐event intervals. Then, we … Show more

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Cited by 26 publications
(29 citation statements)
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“…Consider that a nonnegative function ψ(t, ψ 0 ) satisfies _ ψ � (||A|| + ‖BK((L i + a i0 ) ⊗ I n )‖)(1 + ψ) 2 and ψ 0 � 0, according to Lemma 3, z i ≤ ψ(t, 0). It can be seen from (36),…”
Section: □ Theorem 4 Under the Conditions Of Eorem 3 System (38) Domentioning
confidence: 98%
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“…Consider that a nonnegative function ψ(t, ψ 0 ) satisfies _ ψ � (||A|| + ‖BK((L i + a i0 ) ⊗ I n )‖)(1 + ψ) 2 and ψ 0 � 0, according to Lemma 3, z i ≤ ψ(t, 0). It can be seen from (36),…”
Section: □ Theorem 4 Under the Conditions Of Eorem 3 System (38) Domentioning
confidence: 98%
“…(38) Theorem 3. Under Assumption 1, the multiagent systems (3) with protocol (35) can track system (2) successfully under the event-triggering condition (36), where K � B T P and W � PBB T P.…”
Section: Decentralized Event-triggered Control Strategymentioning
confidence: 99%
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“…Several advanced results on event‐triggered control have been reported in literature. For instance, the consensus problems under event‐triggered mechanism were studied for single‐ or double‐integrator systems, and general linear systems . Moreover, the self‐learning optimal regulation for nonlinear systems was well addressed by the event‐driven method with iterative DHP algorithm .…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the disturbances considered in this article are more challenging in three cases: (a) the disturbances are not available for measurement; (b) the disturbances suffered by each agent are heterogeneous, and (c) the disturbances are not required to be stable or bounded. The points including unbounded, heterogeneous, and immeasurable external disturbances, heterogeneous MASs, event‐triggered control, adaptive control, and bipartite control are taken into account in the meantime. Compared with the existing results where only a part of points are considered, the proposed method is more extensive. Compared with the existing methods, most of them cannot be applied in our article directly, since there exist some limitations such as continuous communication, single‐ or double‐ integrator dynamics, homogeneous linear dynamics, and global information‐dependent parameter design . Therefore, the method in this article is more general.…”
Section: Introductionmentioning
confidence: 99%