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...

Full description

Bibliographic Details

Published in:	Alexandria engineering journal Vol. 119; pp. 598 - 608
Main Authors:	Khan, Junaid, Fayaz, Muhammad, Zaman, Umar, Lee, Eunkyu, Balobaid, Awatef Salim, Bilal, Muhammad, Kim, Kyungsup
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2025 Elsevier
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!