广东工业大学学报2025，Vol.42Issue(2)：70-80,11.
基于事件触发的多智能体系统差分隐私保护跟踪控制
Event-triggered Differential Privacy Protection Tracking Control
摘要
Abstract
To counter the risk of eavesdropper attacks inherent in traditional tracking control methods,research on tracking control in multi-agent systems must incorporate privacy protection considerations.This study introduces an event-triggered distributed differential privacy protection tracking control(EDPTC)method in multi-agent systems featuring both leaders and followers,aimed at addressing privacy protection issues in tracking control.The method is designed to ensure the privacy of the states of leaders and followers at all times while achieving mean square tracking.Given the differences in state updates between leaders and followers,privacy protection mechanisms tailored to each party are developed based on the sensitivity upper bound theorem:the decreasing noise mechanism for followers(DNMF)and the random noise mechanism for leaders(RNML).Moreover,to minimize the impact of random noise on control performance,a leader state estimation algorithm is introduced,and a distributed event trigger is designed to reduce the communication frequency.Additionally,through matrix analysis and probability theory,the privacy of the EDPTC is proven,and sufficient conditions for achieving mean square tracking are derived.Finally,a series of numerical simulations validate the effectiveness of the proposed method.关键词
多智能体系统/跟踪控制/差分隐私保护/事件触发Key words
multi-agent system/tracking control/differential privacy protection/event-triggered strategy分类
信息技术与安全科学引用本文复制引用
谢光强,胡明昱,李杨..基于事件触发的多智能体系统差分隐私保护跟踪控制[J].广东工业大学学报,2025,42(2):70-80,11.基金项目
国家自然科学基金资助项目(62006047,618760439) （62006047,618760439）
广东省重点研发项目(2021B0101220004) （2021B0101220004）
