Data-driven control with event-triggered dynamic compensation for multi-agent systems under DoS attacks

Abstract

This paper is concerned with the tracking control problem for nonlinear multi-agent systems susceptible to DoS attacks based on I/O data. First, tailored to DoS attacks characterized by limited attack frequency and duration, an adaptive compensation scheme adjusting input signals based on DoS attack intervals is designed within the framework of the dynamic threshold event-triggered model free adaptive control strategy, which mitigates the impact of communication disruptions. Besides, by reformulating the tracking control problem as a feasibility problem, an algorithm is designed to obtain two variable parameters of controller by employing the linear matrix inequality (LMI) technique, thereby enhancing system performance and reducing the times of event-triggering. And the boundedness of tracking errors is proven using the contraction mapping principle. Finally, the validity of the proposed method is validated through simulation comparisons.