Neural‐network‐based distributed security filtering for networked switched systems

Abstract

In this paper, distributed security filtering is investigated for networked switched systems under the round‐robin protocol (RRP). In order to fully take the practical situation into account, a cyber attack without additional bounded constraint is considered by introducing the neural network approximate technique. Moreover, the scattered sensor nodes are universally utilized to transmit and collect system information. The distributed filtering is proposed for the networked switched systems to estimate the system output. In order to ease data collisions, RRP is taken to schedule signal communication through the shared network. By constructing a token‐dependent and mode‐dependent Lyapunov function, sufficient conditions are given to ensure the filtering error system under cyber attack is finite‐time bounded. The filtering gains are determined by solving a set of linear matrix inequalities. Finally, the availability of the acquired methods is verified by a PWM‐driven boost converter model.

Adaptive Neural Security Control for Networked Singular Systems Under Deception Attacks

“…Remark 3: This paper is different from the existing results [35], [36] in the following two aspects:…”

“…The reference [35] has studied the neural networks-based security control problem for stochastic system under mixed attacks. The reference [36] has developed neural networks distributed security filters for networked switching systems in the presence of deception attacks. As we can see, neural networks-based security control issues have paid little attention to discrete-time networked singular systems under deception attacks, which inspires our interest.…”

Adaptive neural control for delayed discrete-time switched systems under deception attacks

“…In addition, some existing research results have approximated deception attack signals with NN techniques. The authors investigated the filtering problem of networked switched systems by approximating deception attacks with these techniques [14] . The event-triggered mechanism was designed based on NN, and the deception attacks were approximated by NN, which solved the security control problem [15] .…”

Finite‐time input/output‐to‐state stability of nonlinear stochastic switched time‐varying systems with mode‐dependent average dwell time

“…A switched system is presented by a family of subsystems and a commen law between them 1‐3 . In the past few years, the dynamics of switched systems have exerted much attention owning to their extensive applications in all kinds of fields, such as networked control systems, 4 multiagent systems, 5 communication systems 6 . On the other hand, as a fundamental property of danymic systems, it is inevitable to encountere time delays in modes describing engineering process, and they will cause destabilizing factors.…”