Event-triggered fault detection of nonlinear networked systems

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

Research output: Contribution to journalArticlepeer-review

337 Citations (Scopus)
1401 Downloads (Pure)


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.

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


  • Event-triggered scheme
  • fault detection
  • nonlinear networked systems
  • polynomial fuzzy model
  • sum of squares (SOSs)


Dive into the research topics of 'Event-triggered fault detection of nonlinear networked systems'. Together they form a unique fingerprint.

Cite this