Event-Triggered Predictive Iterative Learning Control for Nonlinear Networked Systems Under DoS Attacks

Abstract

In this paper, a new attacked data compensation (ADC) algorithm under denial of service (DoS) attacks and event-triggered based data driven predictive iterative learning control (DDPILC) method for a class of nonlinear networked control systems (NCSs) is proposed. A new attacked data compensation algorithm by using historical and forecast data information is proposed to against DoS attacks when the system suffers from DoS attacks. Meanwhile, In order to save network communication resources, an event triggerd mechanism is proposed in this paper. The convergence of the tracking control error is given by a rigorous theoretical analysis. Finally, the effectiveness of the proposed method is further verified by simulation.