Sampled-Data Stabilization of Stochastic Interconnected Cyber-Physical Systems Under DoS Attacks

Abstract

Cyber-physical systems (CPSs) can be accessed and controlled remotely, which increases their application prospects; however, these characteristics also make them more vulnerable to cyberattacks. In addition, an increasing number of resource-saving sampled-data control methods have attracted attention in the field of research. How to ensure the stability of the system that is attacked by cyberattacks and to reduce further the communication resources is a challenge. In this article, we study the security control problem of stochastic interconnected CPSs under two-channel denial-of-service attacks based on sampled-data output-feedback. First, the state observer and controller are designed with only the system output of the sampling points in the nonattack intervals. Next, the time intervals related to stable and unstable dynamics are distinguished. By analyzing the Lyapunov function in the intervals classified as previously mentioned respectively, the relationship between the sampling period and attack characteristics is derived to ensure that the system is globally mean-square uniformly ultimately bounded. The simulation results are presented to substantiate the analysis.