Bipartite Consensus for Quantization Communication Multi-Agents Systems With Event-Triggered Random Delayed Impulse Control

This paper explores event-triggered impulsive bipartite consensus for multi-agent systems (MASs) with random actuation delay and quantization communication. In these control systems, event-triggered delayed impulse control (ETDIC) has been developed through a combination of continuous monitoring and periodic data acquisition. This approach ensures that both continuous measurement and periodic sampling methods are incorporated into its design and implementation. By using Lyapunov method, the systems achieve mean-square exponential bipartite consensus. For the continuous event-triggered mechanism (ETM), Zeno behavior is excluded. For periodic ETM, furthermore provided is an upper constraint on the sampling period. Lastly, the theoretical conclusions are validated using numerical examples.

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Publication Details

Journal
IEEE Transactions on Circuits and Systems I Regular Papers
Published
2024-10-16
DOI
https://doi.org/10.1109/tcsi.2024.3468447
Citations
46
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
16.05

Funders

Controls
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article

Bipartite Consensus for Quantization Communication Multi-Agents Systems With Event-Triggered Random Delayed Impulse Control

Huaqing Li, Qian Huang, Wei Zhang, Xin Wang et al.
46 citations
IEEE Transactions on Circuits and Systems I Regular Papers
Distributed Control Multi-Agent Systems
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article

Bipartite Consensus for Quantization Communication Multi-Agents Systems With Event-Triggered Random Delayed Impulse Control

Huaqing Li, Qian Huang, Wei Zhang, Xin Wang, Hongyi Li
article en
46 citations

Abstract

This paper explores event-triggered impulsive bipartite consensus for multi-agent systems (MASs) with random actuation delay and quantization communication. In these control systems, event-triggered delayed impulse control (ETDIC) has been developed through a combination of continuous monitoring and periodic data acquisition. This approach ensures that both continuous measurement and periodic sampling methods are incorporated into its design and implementation. By using Lyapunov method, the systems achieve mean-square exponential bipartite consensus. For the continuous event-triggered mechanism (ETM), Zeno behavior is excluded. For periodic ETM, furthermore provided is an upper constraint on the sampling period. Lastly, the theoretical conclusions are validated using numerical examples.

IEEE Transactions on Circuits and Systems I Regular PapersVol. 72(4)
Southwest University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 1%
Distributed Control Multi-Agent Systems
16.05
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