Secure control of multi-agent systems with privacy preservation of memory event-triggered mechanism
ZHU Tian-fei
CAO Liang
Abstract：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.
Keywords：multi-agent systemsevent-triggered mechanismprivacy preservationsecure control
Publication Date：2026-01-30
Online Publishing Date：2026-02-05(First online date of this platform, not the publication date of the document)
Pages：10( 100-109 )