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Q‐Learning‐Based Adaptive Student's t Maximum Correntropy Cubature Kalman Filter for Non‐Gaussian Noise With Unknown Noise Covariances.

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Title: Q‐Learning‐Based Adaptive Student's t Maximum Correntropy Cubature Kalman Filter for Non‐Gaussian Noise With Unknown Noise Covariances.
Authors: Yadav, Pravir1, pravir.nitdgp@gmail.com, Piri, Jayanta1, Sengupta, Aparajita1, Sengupta, Mainak1
Source: International Journal of Adaptive Control & Signal Processing; Nov2025, Vol. 39 Issue 11, p2414-2428, 15p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 189364862
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PubType: Academic Journal
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  Data: Q‐Learning‐Based Adaptive Student's t Maximum Correntropy Cubature Kalman Filter for Non‐Gaussian Noise With Unknown Noise Covariances.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Adaptive+Control+%26+Signal+Processing%22">International Journal of Adaptive Control & Signal Processing</searchLink>; Nov2025, Vol. 39 Issue 11, p2414-2428, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189364862
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/acs.4056
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 2414
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      – TitleFull: Q‐Learning‐Based Adaptive Student's t Maximum Correntropy Cubature Kalman Filter for Non‐Gaussian Noise With Unknown Noise Covariances.
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            NameFull: Yadav, Pravir
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            NameFull: Piri, Jayanta
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            NameFull: Sengupta, Aparajita
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            – D: 01
              M: 11
              Text: Nov2025
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              Y: 2025
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              Value: 39
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              Value: 11
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