Adaptive Consensus Control of Nonlinear Multiagent Systems Based on Event-Triggered Mechanism Under Dos Attacks

The issue of nonlinear multiagent systems consensus control has attained more and more attention with the development of network technology. To handle such require-ments, a multiagent systems fuzzy adaptive control scheme under denial-of-service attacks (DoS attacks) and sensor attacks by using dynamic event-triggered mechanism which reduces network communication burden is proposed. Firstly, Fuzzy-Logic System(FLS) is used to approximate the unknown nonlinear part of the systems. Secondly, because of the sensor attacks, all states and the real outputs can't be measured, a distributed states observer by utilizing the disturbed output is designed to deal with the problem. Finally, combining with the backstepping scheme and through theoretical derivation and simulation results based on the second-order system model, the control scheme which aims to ensure the output consistency of the leader-less multi-agent system without Zeno behavior is verified.