Adaptive Variable-Step Predictive Compensation for Networked Control Systems Subject to Hybrid Attacks
摘要
This paper investigates the security control problem of networked control systems(NCSs) under hybrid attacks by the proposed adaptive variable-step predictive (AVSP) compensation. Firstly, a model of hybrid attacks is constructed, which considers denial-of-service (DoS) attacks and random deception attacks. Based on the channel-sharing characteristic in actual network communication, this paper proposes the reasonable assumption that these two types of attacks occur in the same communication channel. Secondly, the AVSP compensation based on prediction error is proposed. Compared with the traditional full-prediction control, this strategy can dynamically adjust the prediction control gain according to different attack periods. Then, the system is modeled as a switching system and is classified into three modes based on whether DoS attacks occur and whether AVSP compensation responds. On this basis, the stability of the system is analyzed by constructing a segmented Lyapunov function, and the controller gains are then obtained. Finally, the simulation verifies that the AVSP compensation not only improves the tolerance of the system to deception attacks, but also effectively compensates for the data loss caused by DoS attacks.