Fuzzy filtering‐based fault detection for a class of discrete‐time conic‐type nonlinear systems
Abstract The authors investigates the problem of fuzzy fault detection filter (FFDF) design for a class of discrete‐time conic‐type nonlinear systems. By applying Takagi–Sugeno fuzzy models, the conic‐type dynamic FFDF system is established. Then, utilizing the Lyapunov function method to find a suf...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-05-01
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| Series: | IET Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/sil2.12016 |
| _version_ | 1826830961560518656 |
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| author | Jiancheng Wang Shuping He |
| author_facet | Jiancheng Wang Shuping He |
| author_sort | Jiancheng Wang |
| collection | DOAJ |
| description | Abstract The authors investigates the problem of fuzzy fault detection filter (FFDF) design for a class of discrete‐time conic‐type nonlinear systems. By applying Takagi–Sugeno fuzzy models, the conic‐type dynamic FFDF system is established. Then, utilizing the Lyapunov function method to find a sufficient condition which ensures that the conic‐type dynamic FFDF system is asymptotically stable. After that, using linear matrix inequalities techniques, the FFDF design problem is transformed into an optimization algorithm. Finally, the simulation results demonstrate that the designed FFDF is effective for detecting the faults. |
| first_indexed | 2024-03-09T09:10:48Z |
| format | Article |
| id | doaj.art-377e34c053224cb1ad8e13a5352c9e94 |
| institution | Directory Open Access Journal |
| issn | 1751-9675 1751-9683 |
| language | English |
| last_indexed | 2025-02-16T09:50:11Z |
| publishDate | 2021-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj.art-377e34c053224cb1ad8e13a5352c9e942025-02-03T01:31:55ZengWileyIET Signal Processing1751-96751751-96832021-05-0115315316110.1049/sil2.12016Fuzzy filtering‐based fault detection for a class of discrete‐time conic‐type nonlinear systemsJiancheng Wang0Shuping He1Key Laboratory of Intelligent Computing and Signal Processing (Ministry of Education) School of Electrical Engineering and Automation Anhui University Hefei People's Republic of ChinaKey Laboratory of Intelligent Computing and Signal Processing (Ministry of Education) School of Electrical Engineering and Automation Anhui University Hefei People's Republic of ChinaAbstract The authors investigates the problem of fuzzy fault detection filter (FFDF) design for a class of discrete‐time conic‐type nonlinear systems. By applying Takagi–Sugeno fuzzy models, the conic‐type dynamic FFDF system is established. Then, utilizing the Lyapunov function method to find a sufficient condition which ensures that the conic‐type dynamic FFDF system is asymptotically stable. After that, using linear matrix inequalities techniques, the FFDF design problem is transformed into an optimization algorithm. Finally, the simulation results demonstrate that the designed FFDF is effective for detecting the faults.https://doi.org/10.1049/sil2.12016asymptotic stabilitycontrol system synthesisdiscrete time systemsfault diagnosisfiltering theoryfuzzy control |
| spellingShingle | Jiancheng Wang Shuping He Fuzzy filtering‐based fault detection for a class of discrete‐time conic‐type nonlinear systems IET Signal Processing asymptotic stability control system synthesis discrete time systems fault diagnosis filtering theory fuzzy control |
| title | Fuzzy filtering‐based fault detection for a class of discrete‐time conic‐type nonlinear systems |
| title_full | Fuzzy filtering‐based fault detection for a class of discrete‐time conic‐type nonlinear systems |
| title_fullStr | Fuzzy filtering‐based fault detection for a class of discrete‐time conic‐type nonlinear systems |
| title_full_unstemmed | Fuzzy filtering‐based fault detection for a class of discrete‐time conic‐type nonlinear systems |
| title_short | Fuzzy filtering‐based fault detection for a class of discrete‐time conic‐type nonlinear systems |
| title_sort | fuzzy filtering based fault detection for a class of discrete time conic type nonlinear systems |
| topic | asymptotic stability control system synthesis discrete time systems fault diagnosis filtering theory fuzzy control |
| url | https://doi.org/10.1049/sil2.12016 |
| work_keys_str_mv | AT jianchengwang fuzzyfilteringbasedfaultdetectionforaclassofdiscretetimeconictypenonlinearsystems AT shupinghe fuzzyfilteringbasedfaultdetectionforaclassofdiscretetimeconictypenonlinearsystems |