引用本文:朱天飞,曹亮.具有记忆事件触发机制隐私保护的多智能体系统安全控制[J].控制理论与应用,2026,43(1):100~109.[点击复制]
ZHU Tian-fei,CAO Liang.Secure control of multi-agent systems with privacy preservation of memory event-triggered mechanism[J].Control Theory & Applications,2026,43(1):100~109.[点击复制]
具有记忆事件触发机制隐私保护的多智能体系统安全控制
Secure control of multi-agent systems with privacy preservation of memory event-triggered mechanism
摘要点击 233  全文点击 37  投稿时间:2025-03-26  修订日期:2025-09-09
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DOI编号  10.7641/CTA.2025.50120
  2026,43(1):100-109
中文关键词  多智能体系统  事件触发机制  隐私保护  安全控制
英文关键词  multi-agent systems  event-triggered mechanism  privacy preservation  secure control
基金项目  国家自然科学基金项目(62473059),辽宁省自然科学基金项目(2024MS183),锦州市人才计划(JXYC240102),辽宁省兴辽英才项目(XLYC240318 8)资助.
作者单位E-mail
朱天飞 渤海大学控制科学与工程学院 caoliang0928@163.com 
曹亮* 渤海大学数学科学学院 caoliang0928@163.com 
中文摘要
      针对具有未知扰动的非线性多智能体系统,本文提出一种基于记忆事件触发机制并具有隐私保护的合作 学习控制算法.首先,为防止智能体间交互的关键状态与控制信息泄露,构造时间掩码函数对整个系统进行隐私保 护,提高加密能力同时减轻对系统性能的影响;其次,将记忆事件触发机制嵌入反步法控制框架,借助该机制对历史 数据的存储能力实现安全控制目标;同时,利用历史数据设置阈值条件,避免虚假信号影响通讯并保证系统的瞬态 性能;最后,提出基于误差的合作学习自适应律.其不需要预先假定邻居权重是有限的,从而减少了保守性,通过理 论分析和仿真结果验证所构建事件触发控制方案的可行性.
英文摘要
      For nonlinear multi-agent systems with unknown disturbances, a cooperative learning control algorithm consisted of a memory-based event-triggered mechanism and privacy preservation is proposed. Firstly, to prevent the leakage of the key state and control information in the interaction between intelligent agents, a time masking function is constructed to provide the privacy protection for the entire system, thereby enhancing encryption capabilities while reducing the impact on system performance. Then, the memory-based event-triggered mechanism is applied within a backstepping framework, and the secure control objectives are achieved by leveraging the mechanism’s ability to store historical data. Meanwhile, historical data is used to set threshold conditions, avoiding false signals from affecting communication and ensuring the system’s transient performance. Lastly, the proposed error-based cooperative learning adaptive rate does not require prior assumptions about the finite nature of neighbor weights, thereby reducing conservatism. The event-triggered control scheme is verified through theoretical analysis and simulation results.