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Cited by 472

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Event-Based Finite-Time Control for Nonlinear Multiagent Systems With Asymptotic Tracking

Li, Yongming, Li, Yuan-Xin, Tong, Shaocheng·2023·IEEE Transactions on Automatic Control

Abstract

In this article, an adaptive neural finite-time event-triggered consensus tracking problem is studied for nonlinear multiagent systems (MASs) under directed graphs. First, the unknown nonlinear functions of MASs can be approximated by neural networks. Then, a distributed adaptive event-triggered control scheme is proposed via command filter and backstepping technique. The newly designed control scheme cannot only circumvent the problem of the explosion of complexity, but also remove the singularity issue typical of conventional backstepping technique. In the meanwhile, an event-triggered mechanism with a dynamic threshold is devised to reduce the waste of network resources. Moreover, by using a novel finite-time stability criterion, it can be proved that the closed-loop system is finite-time stable and the consensus tracking errors can reach zero as time approaches to infinity. Finally, a numerical example is given to validate the feasibility of the proposed scheme.

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Metadata

Authors
Li, Y., Li, Y.-X., & Tong, S.
Venue
IEEE Transactions on Automatic Control
Published
2023-06
Volume
68
Issue
6
Pages
3790-3797
ISSN
  • 0018-9286 (ISSN-L)
  • 1558-2523
  • 2334-3303
OpenAlex
W4300439422
Cited by
472
References
3
FWCI
45.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Event-Based Finite-Time Control for Nonlinear Multiagent Systems With Asymptotic Tracking. https://app.cochat.ai/papers/10.1109/tac.2022.3197562
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Li, Y., Li, Y.-X., & Tong, S. (2023). Event-Based Finite-Time Control for Nonlinear Multiagent Systems With Asymptotic Tracking. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2022.3197562

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