Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability
In this paper, we consider optimal linear sensor fusion for obtaining a remote state estimate of a linear process based on the sensor data transmitted over lossy channels. There is no local observability guarantee for any of the sensors. It is assumed that the state of the linear process is collecti...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/159376 |
| _version_ | 1826113885045784576 |
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| author | Wu, Yuchi Ding, Kemi Li, Yuzhe Shi, Ling |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Wu, Yuchi Ding, Kemi Li, Yuzhe Shi, Ling |
| author_sort | Wu, Yuchi |
| collection | NTU |
| description | In this paper, we consider optimal linear sensor fusion for obtaining a remote state estimate of a linear process based on the sensor data transmitted over lossy channels. There is no local observability guarantee for any of the sensors. It is assumed that the state of the linear process is collectively observable. We transform the problem of finding the optimal linear sensor fusion coefficients as a convex optimization problem which can be efficiently solved. Moreover, the closed-form expression is also derived for the optimal coefficients. Simulation results are presented to illustrate the performance of the developed algorithm. |
| first_indexed | 2024-10-01T03:30:32Z |
| format | Journal Article |
| id | ntu-10356/159376 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:30:32Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1593762022-06-16T05:31:00Z Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability Wu, Yuchi Ding, Kemi Li, Yuzhe Shi, Ling School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering State Estimation Kalman Filter In this paper, we consider optimal linear sensor fusion for obtaining a remote state estimate of a linear process based on the sensor data transmitted over lossy channels. There is no local observability guarantee for any of the sensors. It is assumed that the state of the linear process is collectively observable. We transform the problem of finding the optimal linear sensor fusion coefficients as a convex optimization problem which can be efficiently solved. Moreover, the closed-form expression is also derived for the optimal coefficients. Simulation results are presented to illustrate the performance of the developed algorithm. The work by Y. Wu and L. Shi is supported by a Hong Kong RGC General Research Fund, Hong Kong Special Administrative Region 16204218. The work of Y. Li was supported by National Natural Science Foundation of China, China (61890924, 61991404), and Liao Ning Revitalization Talents Program (XLYC1907087). 2022-06-16T05:31:00Z 2022-06-16T05:31:00Z 2021 Journal Article Wu, Y., Ding, K., Li, Y. & Shi, L. (2021). Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability. Automatica, 128, 109568-. https://dx.doi.org/10.1016/j.automatica.2021.109568 0005-1098 https://hdl.handle.net/10356/159376 10.1016/j.automatica.2021.109568 2-s2.0-85103288333 128 109568 en Automatica © 2021 Elsevier Ltd. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering State Estimation Kalman Filter Wu, Yuchi Ding, Kemi Li, Yuzhe Shi, Ling Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability |
| title | Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability |
| title_full | Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability |
| title_fullStr | Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability |
| title_full_unstemmed | Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability |
| title_short | Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability |
| title_sort | optimal unbiased linear sensor fusion over multiple lossy channels with collective observability |
| topic | Engineering::Electrical and electronic engineering State Estimation Kalman Filter |
| url | https://hdl.handle.net/10356/159376 |
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