Optimizing alpha–beta filter for enhanced predictions accuracy in industrial applications using Mamdani fuzzy inference system

This work presents a novel approach for dynamically optimizing the alpha–beta filter parameters through the Mamdani fuzzy inference system (MFIS) for industrial applications to estimate the state of dynamic systems based on sensor measurements. Our proposed method has two important components: the p...

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Vydané v:	Alexandria engineering journal Ročník 119; s. 598 - 608
Hlavní autori:	Khan, Junaid, Fayaz, Muhammad, Zaman, Umar, Lee, Eunkyu, Balobaid, Awatef Salim, Bilal, Muhammad, Kim, Kyungsup
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.04.2025 Elsevier
Predmet:	Algorithms Alpha–beta filter Dynamic system Fuzzy system Industrial applications Mamdani fuzzy inference system Rule based system Fuzzy system Algorithms Dynamic system Rule based system Industrial applications Alpha–beta filter Mamdani fuzzy inference system
ISSN:	1110-0168
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