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

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-28
DOI
https://doi.org/10.5281/zenodo.15762169
Primary Topic
Advanced Clustering Algorithms Research
Type
article
Field-Weighted Citation Impact
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Advanced Clustering Algorithms Research
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 75%
Advanced Clustering Algorithms Research
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Event-triggered Prescribed-time Time-varying Formation Tracking Control of Nonlinear Multi-agent Systems · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS