Least-Squares-Based Iterative Identification Algorithm for Wiener Nonlinear Systems
This paper focuses on the identification problem of Wiener nonlinear systems. The application of the key-term separation principle provides a simplified form of the estimated parameter model. To solve the identification problem of Wiener nonlinear systems with the unmeasurable variables in the infor...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/565841 |
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| _version_ | 1832548150349398016 |
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| author | Lincheng Zhou Xiangli Li Feng Pan |
| author_facet | Lincheng Zhou Xiangli Li Feng Pan |
| author_sort | Lincheng Zhou |
| collection | DOAJ |
| description | This paper focuses on the identification problem of Wiener nonlinear systems. The application of the key-term separation principle provides a simplified form of the estimated parameter model. To solve the identification problem of Wiener nonlinear systems with the unmeasurable variables in the information vector, the least-squares-based iterative algorithm is presented by replacing the unmeasurable variables in the information vector with their corresponding iterative estimates. The simulation results indicate that the proposed algorithm is effective. |
| format | Article |
| id | doaj-art-bae7b3f3f0754fe293bf44c10a177abd |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-bae7b3f3f0754fe293bf44c10a177abd2025-02-03T06:42:01ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/565841565841Least-Squares-Based Iterative Identification Algorithm for Wiener Nonlinear SystemsLincheng Zhou0Xiangli Li1Feng Pan2Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, ChinaKey Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, ChinaKey Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, ChinaThis paper focuses on the identification problem of Wiener nonlinear systems. The application of the key-term separation principle provides a simplified form of the estimated parameter model. To solve the identification problem of Wiener nonlinear systems with the unmeasurable variables in the information vector, the least-squares-based iterative algorithm is presented by replacing the unmeasurable variables in the information vector with their corresponding iterative estimates. The simulation results indicate that the proposed algorithm is effective.http://dx.doi.org/10.1155/2013/565841 |
| spellingShingle | Lincheng Zhou Xiangli Li Feng Pan Least-Squares-Based Iterative Identification Algorithm for Wiener Nonlinear Systems Journal of Applied Mathematics |
| title | Least-Squares-Based Iterative Identification Algorithm for Wiener Nonlinear Systems |
| title_full | Least-Squares-Based Iterative Identification Algorithm for Wiener Nonlinear Systems |
| title_fullStr | Least-Squares-Based Iterative Identification Algorithm for Wiener Nonlinear Systems |
| title_full_unstemmed | Least-Squares-Based Iterative Identification Algorithm for Wiener Nonlinear Systems |
| title_short | Least-Squares-Based Iterative Identification Algorithm for Wiener Nonlinear Systems |
| title_sort | least squares based iterative identification algorithm for wiener nonlinear systems |
| url | http://dx.doi.org/10.1155/2013/565841 |
| work_keys_str_mv | AT linchengzhou leastsquaresbasediterativeidentificationalgorithmforwienernonlinearsystems AT xianglili leastsquaresbasediterativeidentificationalgorithmforwienernonlinearsystems AT fengpan leastsquaresbasediterativeidentificationalgorithmforwienernonlinearsystems |