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

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.