Event-based Distributed Filtering Approach to Nonlinear Stochastic Systems over Sensor Networks

Zhongrui Hu, Peng Shi, Ligang Wu, Choon Ki Ahn

    Research output: Contribution to journalArticlepeer-review

    21 Citations (Scopus)

    Abstract

    In this paper, an event-triggered communication strategy and a distributed filtering scheme are designed for discrete-time nonlinear stochastic systems over wireless sensor networks (WSNs). The underlying system is represented by the Takagi-Sugeno (T-S) fuzzy model, and in addition by the description of the WSN under consideration. The structure of the WSN is established on a deterministic one. Based on an event-triggering condition tailored for each sensor, distributed fuzzy filters are established using the triggered measurements of the smart sensors. As a result, an augmented stochastic system is presented for the distributed filtering design. A robust mean-square asymptotic stability criterion is explored using the Lyapunov stability theory and the Disk stability constraint is applied to improve the performance of the distributed filters. An optimization solution to obtaining the parameters of the distributed filters is developed. Subsequently, a computer-simulated example helps to illustrate the validity of the proposed new filtering design techniques.

    Original languageEnglish
    Pages (from-to)896-906
    Number of pages11
    JournalInternational Journal of Control, Automation and Systems
    Volume17
    Issue number4
    DOIs
    Publication statusPublished - 2019 Apr

    Bibliographical note

    Publisher Copyright:
    © ICROS, KIEE and Springer 2019.

    Keywords

    • Distributed filtering
    • event-triggered control
    • fuzzy systems
    • sensor networks

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Computer Science Applications

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