Exponential and Finite-Time Consensus of Multiagent Systems via Curve Suppression Method

This article investigates the exponential and finite-time leader-following consensus of first and second order multi-agent systems (MASs). Unlike the finite-time Lyapunov method, the curve suppression method based on the exponential and linear suppression functions is respectively designed to achieve the exponential and finite-time leader-following consensus of MASs. Especially, the distributed controllers are designed to reduce communication between MASs, where does not require the design of complex fractional-order controllers to achieve finite-time consensus. Furthermore, the first-order consensus is extended to the second-order consensus by defining a new system state including position and velocity. Finally, the effectiveness of the suggested approach is verified through numerical simulations.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864925
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
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article

Exponential and Finite-Time Consensus of Multiagent Systems via Curve Suppression Method

Yufeng Zhou, Jiazhong Hu, Li Chai
Distributed Control Multi-Agent Systems
article

Exponential and Finite-Time Consensus of Multiagent Systems via Curve Suppression Method

Yufeng Zhou, Jiazhong Hu, Li Chai
article en

Abstract

This article investigates the exponential and finite-time leader-following consensus of first and second order multi-agent systems (MASs). Unlike the finite-time Lyapunov method, the curve suppression method based on the exponential and linear suppression functions is respectively designed to achieve the exponential and finite-time leader-following consensus of MASs. Especially, the distributed controllers are designed to reduce communication between MASs, where does not require the design of complex fractional-order controllers to achieve finite-time consensus. Furthermore, the first-order consensus is extended to the second-order consensus by defining a new system state including position and velocity. Finally, the effectiveness of the suggested approach is verified through numerical simulations.

Wuhan University of Science and Technology (CN), Zhejiang University (CN)
Openalex Percentile: Top 68%
Distributed Control Multi-Agent Systems
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