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Distributed resilient interval estimation for sensor networks under aperiodic denial-of-service attacks and adaptive event-triggered protocols

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  • Li, Xin
  • Wei, Guoliang
  • Ding, Derui

Abstract

The problem of the distributed interval estimation is studied for sensor networks under the denial-of-service (DoS) attack and the adaptive event-triggered protocol (AETP). The DoS attacks are described by the attack frequency and occurred duration in the channels between the local estimator and its neighbor nodes. Furthermore, AETP is employed to reduce the communication burden resulting from the limited bandwidth of communication networks. The dynamic threshold parameters of the proposed AETP are governed by an adaptive law, which is directly related with the error between the innovation at the current instant and the broadcast innovation at the latest trigger instant. The purpose of this article is to design a distributed interval estimator by utilizing the local information and the neighboring information such that, in the simultaneous presence of AETP, the bounded noises, and the aperiodic DoS attacks, system real states are involved in an interval. Then, some sufficient conditions are gained by employing the stability analysis theory and positive system theory, and the desired estimator gains are obtained by solving a set of linear matrix inequalities. Finally, a simulation example is proposed to show the effectiveness of the developed method.

Suggested Citation

  • Li, Xin & Wei, Guoliang & Ding, Derui, 2021. "Distributed resilient interval estimation for sensor networks under aperiodic denial-of-service attacks and adaptive event-triggered protocols," Applied Mathematics and Computation, Elsevier, vol. 409(C).
    • Handle: RePEc:eee:apmaco:v:409:y:2021:i:c:s0096300321004604
    DOI: 10.1016/j.amc.2021.126371
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    References listed on IDEAS

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    1. Fan, Ming-Can & Wu, Yue, 2018. "Global leader-following consensus of nonlinear multi-agent systems with unknown control directions and unknown external disturbances," Applied Mathematics and Computation, Elsevier, vol. 331(C), pages 274-286.
    2. Lee, Tae H. & Park, Ju H. & Jung, Hoyoul, 2018. "Network-based H∞ state estimation for neural networks using imperfect measurement," Applied Mathematics and Computation, Elsevier, vol. 316(C), pages 205-214.
    3. Li, Feng & Shen, Hao & Chen, Mengshen & Kong, Qingkai, 2015. "Non-fragile finite-time l2−l∞ state estimation for discrete-time Markov jump neural networks with unreliable communication links," Applied Mathematics and Computation, Elsevier, vol. 271(C), pages 467-481.
    4. Liu, Jinliang & Xia, Jilei & Tian, Engang & Fei, Shumin, 2018. "Hybrid-driven-based H∞ filter design for neural networks subject to deception attacks," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 158-174.
    5. Chang, Beibei & Mu, Xiaowu & Yang, Zhe & Fang, Jianyin, 2021. "Event-based secure consensus of muti-agent systems under asynchronous DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 401(C).
    6. Guoliang Wei & Linlin Liu & Licheng Wang & Derui Ding, 2020. "Event-triggered control for discrete-time systems with unknown nonlinearities: an interval observer-based approach," International Journal of Systems Science, Taylor & Francis Journals, vol. 51(6), pages 1019-1031, April.
    7. Che, Haochi & Huang, Jun & Zhao, Xudong & Ma, Xiang & Xu, Ning, 2020. "Functional interval observer for discrete-time systems with disturbances," Applied Mathematics and Computation, Elsevier, vol. 383(C).
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    1. Li, Xin & Cheng, Kaijie & Zhu, Liangkuan & Wei, Guoliang, 2023. "Outlier-resistant interval observer design for multirate time-delayed systems under the adaptive event-triggered protocols," Applied Mathematics and Computation, Elsevier, vol. 444(C).
    2. Wu, Zhenyu & Chen, Jiawei & Zhang, Xuexi & Xiao, Zehui & Tao, Jie & Wang, Xiaofeng, 2022. "Dynamic event-triggered synchronization of complex networks with switching topologies: Asynchronous observer-based case," Applied Mathematics and Computation, Elsevier, vol. 435(C).

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