Data-Driven Learning-Based Fault Tolerant Stability Analysis
In this paper, a new data-driven learning method is investigated based on the dynamical data of the system. A regularized regression wavelet (RRW) approach is proposed to optimize the learning result for the system fault. Based on the optimizing results, a fault tolerant stability scheme is given. T...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/1891273 |
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| _version_ | 1832563194693943296 |
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| author | Lei Ge Shun Chen |
| author_facet | Lei Ge Shun Chen |
| author_sort | Lei Ge |
| collection | DOAJ |
| description | In this paper, a new data-driven learning method is investigated based on the dynamical data of the system. A regularized regression wavelet (RRW) approach is proposed to optimize the learning result for the system fault. Based on the optimizing results, a fault tolerant stability scheme is given. Then, the efficiency of the proposed technique is verified by a vertical take-off and landing (VTOL) aircraft stability example. |
| format | Article |
| id | doaj-art-f9f9d3c547ae4316b9872e0eeddaf20a |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-f9f9d3c547ae4316b9872e0eeddaf20a2025-02-03T01:20:47ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/18912731891273Data-Driven Learning-Based Fault Tolerant Stability AnalysisLei Ge0Shun Chen1School of Finance, Southwestern University of Finance and Economics, Chengdu, Sichuan, ChinaSchool of Economics, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaIn this paper, a new data-driven learning method is investigated based on the dynamical data of the system. A regularized regression wavelet (RRW) approach is proposed to optimize the learning result for the system fault. Based on the optimizing results, a fault tolerant stability scheme is given. Then, the efficiency of the proposed technique is verified by a vertical take-off and landing (VTOL) aircraft stability example.http://dx.doi.org/10.1155/2020/1891273 |
| spellingShingle | Lei Ge Shun Chen Data-Driven Learning-Based Fault Tolerant Stability Analysis Complexity |
| title | Data-Driven Learning-Based Fault Tolerant Stability Analysis |
| title_full | Data-Driven Learning-Based Fault Tolerant Stability Analysis |
| title_fullStr | Data-Driven Learning-Based Fault Tolerant Stability Analysis |
| title_full_unstemmed | Data-Driven Learning-Based Fault Tolerant Stability Analysis |
| title_short | Data-Driven Learning-Based Fault Tolerant Stability Analysis |
| title_sort | data driven learning based fault tolerant stability analysis |
| url | http://dx.doi.org/10.1155/2020/1891273 |
| work_keys_str_mv | AT leige datadrivenlearningbasedfaulttolerantstabilityanalysis AT shunchen datadrivenlearningbasedfaulttolerantstabilityanalysis |