| Title:
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On hybrid consensus-based extended Kalman filtering with random link failures over sensor networks (English) |
| Author:
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Zhu, Pailiang |
| Author:
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Wei, Guoliang |
| Author:
|
Li, Jiajia |
| Language:
|
English |
| Journal:
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Kybernetika |
| ISSN:
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0023-5954 (print) |
| ISSN:
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1805-949X (online) |
| Volume:
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56 |
| Issue:
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1 |
| Year:
|
2020 |
| Pages:
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189-212 |
| Summary lang:
|
English |
| . |
| Category:
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math |
| . |
| Summary:
|
This paper is concerned with the distributed filtering problem for nonlinear time-varying systems over wireless sensor networks under random link failures. To achieve consensus estimation, each sensor node is allowed to communicate with its neighboring nodes according to a prescribed communication topology. Firstly, a new hybrid consensus-based filtering algorithm under random link failures, which affect the information exchange between sensors and are modeled by a set of independent Bernoulli processes, is designed via redefining the interaction weights. Second, a novel observability condition, called parameterized jointly uniform observability, is proposed to ensure the stochastic boundedness of the error covariances of the hybrid consensus-based filtering algorithm. Finally, an example is given to demonstrate the effectiveness of the derived theoretical results. (English) |
| Keyword:
|
extended Kalman filter |
| Keyword:
|
hybrid consensus filter |
| Keyword:
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sensor network |
| Keyword:
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distributed state estimation |
| Keyword:
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random link failure |
| idZBL:
|
Zbl 07217217 |
| idMR:
|
MR4091790 |
| DOI:
|
10.14736/kyb-2020-1-0189 |
| . |
| Date available:
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2020-05-20T15:42:53Z |
| Last updated:
|
2021-03-29 |
| Stable URL:
|
http://hdl.handle.net/10338.dmlcz/148103 |
| . |
| Reference:
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