Distributed Resilient Asymmetric Bipartite Consensus: A Data-Driven Event-Triggered Mechanism

TL;DR

This paper introduces a data-driven event-triggered mechanism that enables resilient asymmetric bipartite consensus in nonlinear multi-agent systems under aperiodic DoS attacks, ensuring synchronization despite communication disruptions.

Contribution

It proposes a novel data-driven event-triggered control framework that maintains leader-follower consensus in nonlinear MAS under aperiodic DoS attacks, addressing data loss and communication challenges.

Findings

Successfully achieves leader-follower consensus during aperiodic DoS attacks

Demonstrates robustness of the DDET mechanism through numerical examples

Handles data loss and communication disruptions effectively

Abstract

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-follower 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.