Distributed Adaptive Sampled-Data Security Tracking Control for Uncertain Heterogeneous Multi-Agents Systems Under DoS Attacks

Abstract

This paper addresses the issue of secure distributed consensus tracking control for uncertain heterogeneous multi-agent systems (MASs) under synchronous sampled communication and intermittent denial-of-service (DoS) attacks. Considering that DoS attacks intermittently block the sampled data signal, a new packet update sequence is established to describe the transmitted signal to the neighbor agents. By virtue of the leader’s dynamics, the sampled-data-based distributed observer is established to observe the leader’s information for all followers. Then, based on the estimated signals and employing neural network approximation approach, secure adaptive sampled-data control strategy is proposed to compensate for the effects of uncertainty and DoS attacks. By utilizing novel Lyapunov-Krasovskii approach, the consensus tracking errors are regulated in the neighborhood around the origin. Finally, a numerical example with the coupled pendulums is provided to substantiate the efficiency of the proposed approach to achieve tracking security performance.