Decentralized Fuzzy Observer-Based Fault Estimation for Nonlinear Large-Scale Systems
This paper presents a fault estimation technique based on the decentralized fuzzy observer for nonlinear large-scale systems, which are considered to be consisted of fuzzy subsystems and uncertain interconnections. Based on a Takagi–Sugeno fuzzy model for the subsystems of the large-scale...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10460537/ |
| _version_ | 1797243402354425856 |
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| author | Geun Bum Koo |
| author_facet | Geun Bum Koo |
| author_sort | Geun Bum Koo |
| collection | DOAJ |
| description | This paper presents a fault estimation technique based on the decentralized fuzzy observer for nonlinear large-scale systems, which are considered to be consisted of fuzzy subsystems and uncertain interconnections. Based on a Takagi–Sugeno fuzzy model for the subsystems of the large-scale system and the decentralized fuzzy observer, the <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> performance of the fault estimation problem is established by using the estimation error model. By using <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> performance inequalities to address the fault estimation problem, the decentralized fuzzy observer design techniques are proposed to guarantee the fault estimation conditions. Also, sufficient conditions of observer design are converted into the linear matrix inequality formats. Finally, an example is provided to verify the effectiveness of the proposed decentralized fuzzy observer design techniques for fault estimation. |
| first_indexed | 2024-04-24T18:54:33Z |
| format | Article |
| id | doaj.art-e678fa26baba4c04b11f85a61798c9bd |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T18:54:33Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e678fa26baba4c04b11f85a61798c9bd2024-03-26T17:46:53ZengIEEEIEEE Access2169-35362024-01-0112353783538810.1109/ACCESS.2024.337375410460537Decentralized Fuzzy Observer-Based Fault Estimation for Nonlinear Large-Scale SystemsGeun Bum Koo0https://orcid.org/0000-0001-5610-4093Division of Electrical, Electronic and Control Engineering, Kongju National University, Gongju-si, South KoreaThis paper presents a fault estimation technique based on the decentralized fuzzy observer for nonlinear large-scale systems, which are considered to be consisted of fuzzy subsystems and uncertain interconnections. Based on a Takagi–Sugeno fuzzy model for the subsystems of the large-scale system and the decentralized fuzzy observer, the <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> performance of the fault estimation problem is established by using the estimation error model. By using <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> performance inequalities to address the fault estimation problem, the decentralized fuzzy observer design techniques are proposed to guarantee the fault estimation conditions. Also, sufficient conditions of observer design are converted into the linear matrix inequality formats. Finally, an example is provided to verify the effectiveness of the proposed decentralized fuzzy observer design techniques for fault estimation.https://ieeexplore.ieee.org/document/10460537/Decentralized controlestimation errorfault detectionfuzzy systemslarge-scale systemslinear matrix inequalities |
| spellingShingle | Geun Bum Koo Decentralized Fuzzy Observer-Based Fault Estimation for Nonlinear Large-Scale Systems IEEE Access Decentralized control estimation error fault detection fuzzy systems large-scale systems linear matrix inequalities |
| title | Decentralized Fuzzy Observer-Based Fault Estimation for Nonlinear Large-Scale Systems |
| title_full | Decentralized Fuzzy Observer-Based Fault Estimation for Nonlinear Large-Scale Systems |
| title_fullStr | Decentralized Fuzzy Observer-Based Fault Estimation for Nonlinear Large-Scale Systems |
| title_full_unstemmed | Decentralized Fuzzy Observer-Based Fault Estimation for Nonlinear Large-Scale Systems |
| title_short | Decentralized Fuzzy Observer-Based Fault Estimation for Nonlinear Large-Scale Systems |
| title_sort | decentralized fuzzy observer based fault estimation for nonlinear large scale systems |
| topic | Decentralized control estimation error fault detection fuzzy systems large-scale systems linear matrix inequalities |
| url | https://ieeexplore.ieee.org/document/10460537/ |
| work_keys_str_mv | AT geunbumkoo decentralizedfuzzyobserverbasedfaultestimationfornonlinearlargescalesystems |