Intermittent Self-Triggered Fixed-Time Secure Consensus for Disturbed MASs Under False Data Injection Attacks

Abstract

This paper investigates the fixed-time secure consensus problem for disturbed multi-agent systems (MASs) subject to false data injection attacks (FDIAs) via intermittent dynamic event/self-triggered control. To mitigate the impact of the FDIAs, a Nussbaum-based controller is designed, which effectively solves the problem of unknown attack weights. Moreover, we employ an intermittent control scheme and a dynamic event-triggered control strategy to effectively save resources. Furthermore, an intermittent self-triggered control algorithm is proposed to achieve the fixed-time consensus, thereby conserving communication resources while maintaining a rapid convergence rate. This paper proposes a practical control algorithm for MASs under FDIAs, with potential applications in connected automated ground vehicles requiring robust communication security and high energy efficiency. The effectiveness of the proposed algorithms is validated through simulation experiments based on connected automated ground vehicles.