Privacy - Preserving Event - Triggered Predefined Time Containment Control for Networked Agent Systems

This paper addresses the privacy-preserving event-triggered predefined time containment control problem for net-worked agent systems. A novel containment control scheme is developed that integrates privacy protection with event-triggered mechanisms, optimizing network efficiency b y minimizing un-necessary data transmission while ensuring robust containment within a specified time frame. T he proposed control scheme ensures the confidentiality of agents' information through output masking, thereby maintaining both privacy and control accuracy. Furthermore, it provides a distinct advantage over traditional finite-time and fi xed-time co ntrol me thods by gu aranteeing con-vergence to the desired state within a predefined time, regardless of initial conditions. Finally, some simulation results are given to verify the effectiveness of the proposed containment control scheme.