Decentralized adaptive event-triggered H∞ filtering for a class of networked nonlinear interconnected systems

Zhou Gu, Shiwen Peng, Dong Yue, Zhengtao Ding

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    Abstract

    This paper focuses on the issue of designing an adaptive event-triggered scheme to the decentralized filtering for a class of networked nonlinear interconnected system. A novel adaptive event-triggered condition is proposed by constructing an adaptive law for the threshold. This new type of threshold mainly depends on the error between the states at the current sampling instant and the latest releasing instant, by which the data release rate is adapted to the variation of the system. The limitation of network bandwidth is alleviated on account of a large amount of "unnecessary" packets being dropped out before accessing the network. Sufficient conditions are derived such that the overall filtering error system under the proposed adaptive data-transmitting scheme is asymptotically stable with a prescribed disturbance attenuation level. An example is given to show the effectiveness of the proposed scheme.

    Original languageEnglish
    Pages (from-to)1570-1579
    Number of pages10
    JournalIEEE Transactions on Cybernetics
    Volume49
    Issue number5
    Early online date16 Feb 2018
    DOIs
    Publication statusPublished - 16 Feb 2018

    Keywords

    • Adaptive event-triggered scheme
    • Filtering
    • Nonlinear networked interconnected system
    • Takagi-Sugeno (T-S) fuzzy model

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