Finite-Time Distributed H∞ Filtering in Sensor Networks With Switching Topology and Two-Channel Stochastic Attacks

• 成果类型: Article
• 署名作者: Zhou, Xin; Chen, Guici; Zeng, Zhigang; Hu, Junhao
• 署名单位: Wuhan University of Science & Technology; Huazhong University of Science & Technology; South Central Minzu University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2023.3349215
• 发表日期: 2024
• 页码: 4158-4165
• 关键词: Switches; TOPOLOGY; Network topology; Stochastic processes; Information filters; ELECTRONIC MAIL; indexes; H-infinity filter; distributed filter; finite-time; network attacks; sensor networks; switching topology

摘要

This article investigates the finite-time distributed H-infinity filtering problem in sensor networks with switching topology and two-channel stochastic attacks. The two-channel stochastic deception attacks are introduced, encompassing network attacks in the communication channel between the model and the sensor, as well as in the channel between the sensors, implemented through an independent Bernoulli process with uncertain probabilities. To address this problem, a novel distributed filter with two-channel stochastic attacks is designed, considering the switching topology and information transmission between sensors. The corresponding filtering error system is proposed. By utilizing the Lyapunov function technique and stochastic analysis method, some new sufficient conditions are established to demonstrate the stochastic finite-time boundability of the filtering error system and ensure satisfaction of the H-infinity performance index. Moreover, the optimal H-infinity performance index problem is solved to determine the distributed filter gains and establish the lower boundness of the average dwell time of the topology switching signals. Finally, the effectiveness of the proposed design method is validated through two simulation examples.