A type-3 logic fuzzy system: Optimized by a correntropy based Kalman filter with adaptive fuzzy kernel size

In this study, a self-organizing interval type-3 fuzzy logic system (SO-IT3FLS) with a new learning algorithm is presented. An adaptive kernel size using fuzzy systems is introduced to improve the robustness of conventional correntropy based Kalman filters against non-Gaussian noise. The maximum cor...

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Vydáno v:	Information sciences Ročník 572; s. 424 - 443
Hlavní autoři:	Qasem, Sultan Noman, Ahmadian, Ali, Mohammadzadeh, Ardashir, Rathinasamy, Sakthivel, Pahlevanzadeh, Bahareh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.09.2021
Témata:	Correntropy criterion Interval type-3 fuzzy logic systems Kalman filter Learning algorithm Self-organizing Interval type-3 fuzzy logic systems Self-organizing Correntropy criterion Learning algorithm Kalman filter
ISSN:	0020-0255, 1872-6291
On-line přístup:	Získat plný text
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