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Event-triggered fault detection of nonlinear networked systems

Journal Article


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 propose d 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.

Authors


  •   Li, Hongyi (external author)
  •   Chen, Ziran (external author)
  •   Wu, Ligang (external author)
  •   Lam, Hak-Keung (external author)
  •   Du, Haiping

Publication Date


  • 2017

Citation


  • H. Li, Z. Chen, L. Wu, H. Lam & H. Du, "Event-triggered fault detection of nonlinear networked systems," IEEE Transactions on Cybernetics, vol. 47, (4) pp. 1041-1052, 2017.

Scopus Eid


  • 2-s2.0-85016450208

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/526

Has Global Citation Frequency


Number Of Pages


  • 11

Start Page


  • 1041

End Page


  • 1052

Volume


  • 47

Issue


  • 4

Place Of Publication


  • United States

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 propose d 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.

Authors


  •   Li, Hongyi (external author)
  •   Chen, Ziran (external author)
  •   Wu, Ligang (external author)
  •   Lam, Hak-Keung (external author)
  •   Du, Haiping

Publication Date


  • 2017

Citation


  • H. Li, Z. Chen, L. Wu, H. Lam & H. Du, "Event-triggered fault detection of nonlinear networked systems," IEEE Transactions on Cybernetics, vol. 47, (4) pp. 1041-1052, 2017.

Scopus Eid


  • 2-s2.0-85016450208

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/526

Has Global Citation Frequency


Number Of Pages


  • 11

Start Page


  • 1041

End Page


  • 1052

Volume


  • 47

Issue


  • 4

Place Of Publication


  • United States