Event-Triggered Fault Detection of Nonlinear Networked Systems
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 prop...
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| Published in | IEEE transactions on cybernetics Vol. 47; no. 4; pp. 1041 - 1052 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
IEEE
01.04.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| 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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| AbstractList | 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. |
| Author | Haiping Du Ziran Chen Hak-Keung Lam Hongyi Li Ligang Wu |
| Author_xml | – sequence: 1 givenname: Hongyi surname: Li fullname: Li, Hongyi – sequence: 2 givenname: Ziran surname: Chen fullname: Chen, Ziran – sequence: 3 givenname: Ligang surname: Wu fullname: Wu, Ligang – sequence: 4 givenname: Hak-Keung surname: Lam fullname: Lam, Hak-Keung – sequence: 5 givenname: Haiping surname: Du fullname: Du, Haiping |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27076476$$D View this record in MEDLINE/PubMed |
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| CODEN | ITCEB8 |
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| PublicationTitleAlternate | IEEE Trans Cybern |
| PublicationYear | 2017 |
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| Snippet | This paper investigates the problem of fault detection for nonlinear discrete-time networked systems under an event-triggered scheme. A polynomial fuzzy fault... |
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| SubjectTerms | Cybernetics Discrete time systems Event-triggered scheme Fault detection Functions (mathematics) Fuzzy systems Generators Mathematical analysis nonlinear networked systems Nonlinear systems polynomial fuzzy model Polynomials Stability analysis sum of squares (SOSs) Taylor series |
| Title | Event-Triggered Fault Detection of Nonlinear Networked Systems |
| URI | https://ieeexplore.ieee.org/document/7446296 https://www.ncbi.nlm.nih.gov/pubmed/27076476 https://www.proquest.com/docview/2174448019 https://search.proquest.com/docview/1826667761 |
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