基于位置信息的二阶多智能体系统隐私保护二分一致性
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华东交通大学

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TP273

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网络化电力信息物理系统的级联故障抑制与分布式事件触发自愈控制


Privacy-Preserving Bipartite Consensus of Second-Order Multi-Agent Systems Based on Position Information
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    摘要:

    针对合作-竞争有向符号拓扑下二阶多智能体系统一致性控制中的状态隐私泄露问题,本文提出一种基于位置信息的隐私保护二分一致性控制协议.考虑通信过程中智能体位置信息易被窃听者获取,本文采用状态分解方法,将每个智能体的真实状态分解为耦合的子状态变量,使交互信息不再包含完整的真实状态,从而实现隐私保护.同时,基于结构平衡理论与规范变换方法,将符号网络转化为等价非负网络模型,结合采样位置信息设计分布式控制协议,并推导出系统实现二分一致性的充分必要条件.理论分析表明,在所提控制协议下,系统能够实现二分一致性,并可有效抵御诚实但好奇窃听者与外部窃听者对智能体状态信息的窃取.最后,通过数值仿真验证了所提方法的有效性。

    Abstract:

    This paper investigates privacy-preserving bipartite consensus for second-order multi-agent systems over cooperative-competitive directed signed networks. To prevent the leakage of agents’ state information during communication, a position-based privacy-preserving control protocol is developed via state decomposition. Specifically, the true state of each agent is decomposed into coupled substates, so that the transmitted position information does not reveal the complete private state. By exploiting structural balance and gauge transformation, the signed interaction topology is converted into an equivalent nonnegative network. A distributed sampled-data protocol is then constructed, and a necessary and sufficient condition for bipartite consensus is established. It is shown that the proposed protocol guarantees bipartite consensus while preserving state privacy against honest-but-curious and external eavesdroppers. Numerical simulations are finally provided to illustrate the effectiveness of the theoretical results。

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历史
  • 收稿日期:2026-06-01
  • 最后修改日期:2026-07-26
  • 录用日期:2026-07-27
  • 在线发布日期: 2026-09-03
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