Adaptive Finite Time Group Tracking Consensus for Second Order Multi-Agent Systems with Nonlinear Dynamic

This article focuses on solving the nonlinear multi-agent system consensus problem using an adaptive approach. By designing a control protocol that allows each follower to separately track its corresponding leader in finite time. A time-varying coupling gain is added for each node in the undirected network topology graph. The finite time group consensus problem can be addressed by continuously adjusting the weights of nodes. In the end, the simulation example verifies the effectiveness of the protocol.

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Published
2025-07-11
DOI
https://doi.org/10.1109/ieeeconf65522.2025.11136835
Primary Topic
Distributed Control Multi-Agent Systems
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article
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0.00
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article

Adaptive Finite Time Group Tracking Consensus for Second Order Multi-Agent Systems with Nonlinear Dynamic

Junjie Liu, Tianyuan Cui, Jixiang Xu, Weixun Li et al.
Distributed Control Multi-Agent Systems
article

Adaptive Finite Time Group Tracking Consensus for Second Order Multi-Agent Systems with Nonlinear Dynamic

Junjie Liu, Tianyuan Cui, Jixiang Xu, Weixun Li, Chunyan Du
article en

Abstract

This article focuses on solving the nonlinear multi-agent system consensus problem using an adaptive approach. By designing a control protocol that allows each follower to separately track its corresponding leader in finite time. A time-varying coupling gain is added for each node in the undirected network topology graph. The finite time group consensus problem can be addressed by continuously adjusting the weights of nodes. In the end, the simulation example verifies the effectiveness of the protocol.

Tianjin University of Technology and Education (CN), Tianjin University of Technology (CN)
Openalex Percentile: Top 73%
Distributed Control Multi-Agent Systems
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Adaptive Finite Time Group Tracking Consensus for Second Order Multi-Agent Systems with Nonlinear Dynamic — Junjie Liu, Tianyuan Cui, et al. · (2025) | TGRS Research Map | TGRS