Event-triggered bipartite consensus tracking for multiagent systems under DoS attacks

This paper studies the secure bipartite consensus tracking of multiagent systems (MASs) with the communication event-triggered mechanism (ETM) and the controller ETM under denial-of-service (DoS) attacks. Unlike the existing analysis method, not all attacks lead to bad consequences in the paper. By a tag update, an attack detection mechanism is proposed to estimate whether malicious attacks happen or not. It can do its utmost to identify all connections and generate a new spanning tree to reduce the adverse impact if attacks occur. Both dynamic communication ETM and dynamic controller ETM are designed with adjusting parameters to further decrease the resource usage. Requirements are acquired to achieve the bipartite consensus tracking by the Young's inequality, Lyapunov functions and rigorous mathematical analysis. In addition, an iterative algorithm is designed to get the most relaxed restriction of the grievous attack time. Simulation results are shown to certify the effectiveness of theoretical results.