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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Event-triggered Prescribed-time Time-varying Formation Tracking Control of Nonlinear Multi-agent Systems

descriptionPublicationkeyboard_double_arrow_right Article 28 Jun 2025Publisher:edupub
Authors: Jiang, Zijie; Li, Tao; Tian, Jialong; Hu, Haiyang; Gao, Yuqi;

doi: 10.5281/zenodo.15762169 , 10.5281/zenodo.15762170

Event-triggered Prescribed-time Time-varying Formation Tracking Control of Nonlinear Multi-agent Systems

Abstract

This paper focuses on the event-triggered prescribed-time time-varying formation tracking problem of nonlinear multi-agent systems. Firstly, a triggering mechanism is proposed. Then, a new event-triggered prescribed-time protocol is constructed to achieve time-varying formation tracking control in the prescribed time. Furthermore, using Lyapunov stability theory, the stability of systems is proved in detail, which implies that the nonlinear multi-agent systems can achieve prescribed-time time-varying formation tracking control. Moreover, it proves the Zeno behavior can be avoided by choosing parameters appropriately. Finally, the theoretical results of this paper are verified through a numerical simulation example.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average