Consensus of discrete‐time heterogeneous multi‐agent systems in noisy environments without velocity transmission

Abstract This paper investigates consensus control of discrete‐time heterogeneous multi‐agent systems with multiplicative noise. As the frequent absence of velocity sensors in real industrial environments, a control protocol is developed using absolute velocity and relative position measurement information. Then, the consensus control issue is reformulated as the stability issue of stochastic difference equations. By choosing an appropriate Lyapunov function, the above stability issue is studied, and the sufficient conditions for leader‐free and leader‐following discrete‐time heterogeneous multi‐agent systems to achieve both mean‐square and almost‐sure consensus are derived, respectively. Finally, numerical simulations are provided to validate the effectiveness of the main results.

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Publication Details

Journal
Asian Journal of Control
Published
2025-03-27
DOI
https://doi.org/10.1002/asjc.3644
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Consensus of discrete‐time heterogeneous multi‐agent systems in noisy environments without velocity transmission

Xiaofeng Zong, Zixuan Wang, Jiali Chen, Xuping Hou
Asian Journal of Control
Distributed Control Multi-Agent Systems
article

Consensus of discrete‐time heterogeneous multi‐agent systems in noisy environments without velocity transmission

Xiaofeng Zong, Zixuan Wang, Jiali Chen, Xuping Hou
article en

Abstract

Abstract This paper investigates consensus control of discrete‐time heterogeneous multi‐agent systems with multiplicative noise. As the frequent absence of velocity sensors in real industrial environments, a control protocol is developed using absolute velocity and relative position measurement information. Then, the consensus control issue is reformulated as the stability issue of stochastic difference equations. By choosing an appropriate Lyapunov function, the above stability issue is studied, and the sufficient conditions for leader‐free and leader‐following discrete‐time heterogeneous multi‐agent systems to achieve both mean‐square and almost‐sure consensus are derived, respectively. Finally, numerical simulations are provided to validate the effectiveness of the main results.

Asian Journal of ControlVol. 27(6)
Ministry of Education of the People's Republic of China (CN), China University of Geosciences (CN), Shandong Institute of Automation (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Openalex Percentile: Top 94%
Distributed Control Multi-Agent Systems
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