Variance-Constrained Distributed Filtering for Time-Varying Systems With Multiplicative Noises and Deception Attacks Over Sensor Networks

Abstract

This paper is concerned with the varianceconstrained distributed filtering problem for a class of timevarying systems subject to multiplicative noises, unknown but bounded disturbances and deception attacks over sensor networks. The available measurements at each sensing node are collected not only from the individual sensor but also from its neighbors according to the given topology. A new deception attack model is proposed where the malicious signals are injected by the adversary into both control and measurement data during the process of information transmission via the communication network. By resorting to the recursive linear matrix inequality approach, a sufficient condition is established for the existence of the desired filter satisfying the prespecified requirements on the estimation error variance. Subsequently, an optimization problem is formulated in order to seek the filter parameters ensuring the locally optimal filtering performance at each time instant. Finally, an illustrative example is presented to demonstrate the effectiveness and applicability of the proposed algorithm.

Distributed filtering for nonlinear time‐delay systems over sensor networks subject to multiplicative link noises and switching topology

“…It should be pointed out that the aforementioned literature has been mainly focused on the additive link noises, which is adequate for electromagnetic propagation through wires and cables . It is worth noting that, however, while the data are propagated in the wireless way, the multiplicative noises are the most frequently seen disturbances . Unfortunately, up to now, the relevant investigations concerning the distributed filtering subject to multiplicative noises are far from adequate.…”

“…26 It is worth noting that, however, while the data are propagated in the wireless way, the multiplicative noises are the most frequently seen disturbances. [27][28][29][30] Unfortunately, up to now, the relevant investigations concerning the distributed filtering subject to multiplicative noises are far from adequate.…”

Local design of distributed H∞‐consensus filtering over sensor networks under multiplicative noises and deception attacks

“…Therefore, much research attention has been paid to time‐varying systems with multiplicative noises to better describe the reality. To date, many research results have been reported on the distributed filtering problem for discrete time‐varying systems with multiplicative noises . For example, the distributed l 2 ‐ l ∞ state estimation problem has been investigated in the work of Lu et al for periodic time‐varying systems subject to multiplicative noises, where the estimator has been designed to ascertain the globally asymptotically stable of the error system.…”

“…To date, many research results have been reported on the distributed filtering problem for discrete time-varying systems with multiplicative noises. 6,23,24 For example, the distributed l 2 -l ∞ state estimation problem has been investigated in the work of Lu et al 23 for periodic time-varying systems subject to multiplicative noises, where the estimator has been designed to ascertain the globally asymptotically stable of the error system. Very recently, the variance-constrained distributed filtering problem has been considered in the work of Ma et al 24 for networked systems with multiplicative noises over a finite horizon.…”

Resilient control of networked control systems under deception attacks: A memory‐event‐triggered communication scheme

“…[40][41][42][43][44][45] Among them, deception attacks, as one of the utmost important cyber attacks, can wreck the integrity of the data by modifying its content. More recently, increasing attention has been devoted to the exploration of the deception attacks (see other works 39,[46][47][48][49][50].…”