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Cited by 13Target Tracking and Data Fusion in Sensor NetworksStability and Control of Uncertain SystemsControl Systems and Identification

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Recursive state estimation for state-saturated systems with two groups of measurements: Handling delayed and degraded sensors

Wen, Chuanbo, Wang, Zidong, Yang, Junjie, Ma, Lifeng·2023·Information Fusion
DOI 10.1016/j.inffus.2023.101814
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Metadata

Authors
Wen, C., Wang, Z., Yang, J., & Ma, L.
Affiliations
  • Shanghai Dianji University (CN)
  • Brunel University of London (GB)
  • Nanjing University of Science and Technology (CN)
Corresponding author
Wen, Chuanbo
ORCID
Venue
Information Fusion
Publisher
Elsevier BV
Published
2023-09
Volume
97
Pages
101814
ISSN
1566-2535 (ISSN-L)
DOI
10.1016/j.inffus.2023.101814
OpenAlex
W4366753657
Cited by
13
References
0
Citations by year
2026: 1 · 2025: 5 · 2024: 6 · 2023: 1
FWCI
1.15
Type
journal article
Language
en
Open access
closed
Licence
Locations
Information Fusion (publishedVersion)
Funders
  • Alexander von Humboldt-Stiftung
  • Royal Society
  • National Natural Science Foundation of China (61933007, 61973209, 62273180)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Target Tracking and Data Fusion in Sensor Networks
  • Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
Keywords
recursive state estimation, sensor fusion, delayed measurements, measurement delay, estimator gain design

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CoChat. (2026). Citation check: Recursive state estimation for state-saturated systems with two groups of measurements: Handling delayed and degraded sensors. https://app.cochat.ai/papers/10.1016/j.inffus.2023.101814
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Wen, C., Wang, Z., Yang, J., & Ma, L. (2023). Recursive state estimation for state-saturated systems with two groups of measurements: Handling delayed and degraded sensors. Information Fusion. https://doi.org/10.1016/j.inffus.2023.101814