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Event-triggered fault detection of nonlinear networked systems

Research output: Contribution to journalArticle

Hongyi Li, Ziran Chen, Ligang Wu, Hak-Keung Lam, Haiping Du

Original languageEnglish
Article number7446296
Pages (from-to)1041-1052
Number of pages12
JournalIEEE Transactions on Cybernetics
Volume47
Issue number4
Early online date4 Apr 2016
DOIs
StatePublished - 15 Mar 2017

Documents

  • Event-Triggered Fault Detection_LI_Firstonline4April2016_GREEN AAM

    CYB_E_2015_09_1299.pdf, 5 MB, application/pdf

    12/10/2016

    Accepted author manuscript

    Other

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King's Authors

Abstract

This paper investigates the problem of fault detection for nonlinear discrete-time networked systems under an event-triggered scheme. A polynomial fuzzy fault detection filter is designed to generate a residual signal and detect faults in the system. A novel polynomial event-triggered scheme is proposed to determine the transmission of the signal. A fault detection filter is designed to guarantee that the residual system is asymptotically stable and satisfies the desired performance. Polynomial approximated membership functions obtained by Taylor series are employed for filtering analysis. Furthermore, sufficient conditions are represented in terms of sum of squares (SOSs) and can be solved by SOS tools in MATLAB environment. A numerical example is provided to demonstrate the effectiveness of the proposed results.

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