Distributed Resilient Asymmetric Bipartite Consensus: A Data-Driven Event-Triggered Mechanism
Yi Zhang, Mohamadamin Rajabinezhad, Shan Zuo · 2024
The problem of asymmetric bipartite consensus control is investigated within the context of nonlinear, discrete-time, networked multi-agent systems (MAS) subject to aperiodic denial-of-service (DoS) attacks. To address the challenges posed by these aperiodic DoS attacks, a data-driven event-triggered (DDET) mechanism has been developed. This mechanism is specifically designed to synchronize the states of the follower agents with the leader’s state, even in the face of aperiodic communication disruptions and data losses. Given the constraints of unavailable agents’ states and data packet loss during these attacks, the DDET control framework resiliently achieves leader-following consensus. The effectiveness of the proposed framework is validated through two numerical examples, which showcase its ability to adeptly handle the complexities arising from aperiodic DoS attacks in nonlinear MAS settings.