Resilient Leader-Follower Consensus of Discrete-Time High-Order Multi-Agent Systems with Time-Varying Graphs

This paper addresses the resilient leader-follower consensus problem for discrete-time high-order multi-agent systems with time-varying graphs. A resilient control law is proposed for each normally functioning follower to effectively mitigate the disruptive effects of malicious agents. Under the proposed control law, resilient leader-follower consensus is achieved exponentially, given that the graph is jointly strongly <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(2 f+1)$</tex>-robust, significantly reducing the communication burden at each time step. Finally, the effectiveness of the proposed approach is validated through a numerical simulation.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/icca65672.2025.11129761
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
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article

Resilient Leader-Follower Consensus of Discrete-Time High-Order Multi-Agent Systems with Time-Varying Graphs

Zhong‐Zhen Luo, Wenfeng Hu
Distributed Control Multi-Agent Systems
article

Resilient Leader-Follower Consensus of Discrete-Time High-Order Multi-Agent Systems with Time-Varying Graphs

Zhong‐Zhen Luo, Wenfeng Hu
article en

Abstract

This paper addresses the resilient leader-follower consensus problem for discrete-time high-order multi-agent systems with time-varying graphs. A resilient control law is proposed for each normally functioning follower to effectively mitigate the disruptive effects of malicious agents. Under the proposed control law, resilient leader-follower consensus is achieved exponentially, given that the graph is jointly strongly <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(2 f+1)$</tex>-robust, significantly reducing the communication burden at each time step. Finally, the effectiveness of the proposed approach is validated through a numerical simulation.

Central South University (CN)
Openalex Percentile: Top 74%
Distributed Control Multi-Agent Systems
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