Event-based recursive filtering for nonlinear bias-corrupted systems with amplify-and-forward relays
In this paper, the recursive filtering issue is investigated for an array of nonlinear bias-corrupted systems with a dynamic amplify-and-forward (AF) relay under the dynamic event-triggered scheme (DETS). To release communication pressure, the DETS is applied to schedule the required signal transmis...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Systems Science & Control Engineering |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/21642583.2024.2332419 |
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| author | Dongyan Dai Jiahui Li Yanhua Song Fan Yang |
| author_facet | Dongyan Dai Jiahui Li Yanhua Song Fan Yang |
| author_sort | Dongyan Dai |
| collection | DOAJ |
| description | In this paper, the recursive filtering issue is investigated for an array of nonlinear bias-corrupted systems with a dynamic amplify-and-forward (AF) relay under the dynamic event-triggered scheme (DETS). To release communication pressure, the DETS is applied to schedule the required signal transmission by adjusting the threshold dynamically. Subsequently, for the sake of enhancing the signal quality of the remote transmission in wireless communication, the relay under the AF protocol is introduced that posing the merits of low complexity, less energy consumption and fast transmission rate. Comparing with the existing results, the amplification factor adopted in this paper is adjusted adaptively that can better reflect reality. Furthermore, a minimized upper bound of the filtering error covariance is acquired via designing appropriate filter parameter, and the mean-square exponential boundedness of the filtering error is analyzed. In addition, both the state and the bias are estimated through the proposed filtering algorithm. Finally, a numerical example is exhibited to test the validity of the algorithm. |
| format | Article |
| id | doaj-art-546dbbd20aa64bc485bfcc909c03d0f6 |
| institution | OA Journals |
| issn | 2164-2583 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Systems Science & Control Engineering |
| spelling | doaj-art-546dbbd20aa64bc485bfcc909c03d0f62025-08-20T01:57:59ZengTaylor & Francis GroupSystems Science & Control Engineering2164-25832024-12-0112110.1080/21642583.2024.2332419Event-based recursive filtering for nonlinear bias-corrupted systems with amplify-and-forward relaysDongyan Dai0Jiahui Li1Yanhua Song2Fan Yang3National Key Laboratory of Continental Shale Oil, Northeast Petroleum University, Daqing, People's Republic of ChinaNational Key Laboratory of Continental Shale Oil, Northeast Petroleum University, Daqing, People's Republic of ChinaNational Key Laboratory of Continental Shale Oil, Northeast Petroleum University, Daqing, People's Republic of ChinaNational Key Laboratory of Continental Shale Oil, Northeast Petroleum University, Daqing, People's Republic of ChinaIn this paper, the recursive filtering issue is investigated for an array of nonlinear bias-corrupted systems with a dynamic amplify-and-forward (AF) relay under the dynamic event-triggered scheme (DETS). To release communication pressure, the DETS is applied to schedule the required signal transmission by adjusting the threshold dynamically. Subsequently, for the sake of enhancing the signal quality of the remote transmission in wireless communication, the relay under the AF protocol is introduced that posing the merits of low complexity, less energy consumption and fast transmission rate. Comparing with the existing results, the amplification factor adopted in this paper is adjusted adaptively that can better reflect reality. Furthermore, a minimized upper bound of the filtering error covariance is acquired via designing appropriate filter parameter, and the mean-square exponential boundedness of the filtering error is analyzed. In addition, both the state and the bias are estimated through the proposed filtering algorithm. Finally, a numerical example is exhibited to test the validity of the algorithm.https://www.tandfonline.com/doi/10.1080/21642583.2024.2332419Recursive filteringdynamic event-triggered schemevariable amplify-and-forward relaydynamical bias |
| spellingShingle | Dongyan Dai Jiahui Li Yanhua Song Fan Yang Event-based recursive filtering for nonlinear bias-corrupted systems with amplify-and-forward relays Systems Science & Control Engineering Recursive filtering dynamic event-triggered scheme variable amplify-and-forward relay dynamical bias |
| title | Event-based recursive filtering for nonlinear bias-corrupted systems with amplify-and-forward relays |
| title_full | Event-based recursive filtering for nonlinear bias-corrupted systems with amplify-and-forward relays |
| title_fullStr | Event-based recursive filtering for nonlinear bias-corrupted systems with amplify-and-forward relays |
| title_full_unstemmed | Event-based recursive filtering for nonlinear bias-corrupted systems with amplify-and-forward relays |
| title_short | Event-based recursive filtering for nonlinear bias-corrupted systems with amplify-and-forward relays |
| title_sort | event based recursive filtering for nonlinear bias corrupted systems with amplify and forward relays |
| topic | Recursive filtering dynamic event-triggered scheme variable amplify-and-forward relay dynamical bias |
| url | https://www.tandfonline.com/doi/10.1080/21642583.2024.2332419 |
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