Stabilization of random nonlinear systems subject to deception attacks

Abstract

In this article, the stabilization problem of a class of random networked control nonlinear systems suffering from deception attacks is considered. First, an appropriate attack model described by the random impulsive nonlinear system is developed, and the discrete dynamics have multiple random impulsive intensity, whose type is determined by a Markov chain. Second, the criteria of noise‐to‐state exponential stability in the mth moment are given for the general random impulsive nonlinear systems based on the (mode‐dependent) average impulsive interval. Third, a state‐feedback controller is designed to stabilize the random networked control nonlinear system under deception attacks on the basis of LMIs method. Finally, the feasibility of the proposed theoretical results is verified by the application to the stabilization problem of the network unmanned ground vehicle systems subject to deception attacks and the effectiveness is verified by the simulation results.

Bipartite synchronization of multi‐agent systems under deception attacks via pinning delayed‐impulsive control

“…8 According to some literature, deception attacks can bypass the existing detection technology, resulting in a severe decline in the system performance. 9,10 Therefore, in recent years, the synchronization problem of MASs under deception attacks has received extensive attention. For example, in References 11-13, deception attacks are described by random variables obeying Bernoulli distribution.…”

“…Generally, deception attacks can be classified into three types: data replay, data modification, and false data injection 8 . According to some literature, deception attacks can bypass the existing detection technology, resulting in a severe decline in the system performance 9,10 . Therefore, in recent years, the synchronization problem of MASs under deception attacks has received extensive attention.…”