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Cited by 391

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Consensus of multi-agent systems via fully distributed event-triggered control

Open access
Li, Xianwei, Tang, Yang, Karimi, Hamid Reza·2020·Automatica

Abstract

Abstract This article studies consensus of linear multi-agent systems (MASs) on undirected graphs. An adaptive event-triggering protocol is constructed for consensus control by using relative information between agents. Sufficient conditions are established for consensus of linear MASs without and with external disturbances, respectively. Zeno behavior is proved to be excluded. Moreover, a self-triggered realization based on sampled information is formulated for the protocol. Since the proposed protocol incorporates both adaptive control and event-triggered control, it can be implemented in a fully distributed way and only makes use of the sampled relative information between neighboring agents. Two numerical examples are finally provided for demonstrating the effectiveness and advantages of the theoretical results.

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Metadata

Authors
Li, X., Tang, Y., & Karimi, H. R.
Venue
Automatica
Publisher
Elsevier BV
Published
2020-06
Volume
116
Pages
108898
ISSN
0005-1098 (ISSN-L)
OpenAlex
W3011108628
Cited by
391
References
33
FWCI
23.46
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Consensus of multi-agent systems via fully distributed event-triggered control. https://app.cochat.ai/papers/10.1016/j.automatica.2020.108898
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Li, X., Tang, Y., & Karimi, H. R. (2020). Consensus of multi-agent systems via fully distributed event-triggered control. Automatica. https://doi.org/10.1016/j.automatica.2020.108898

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.