A New Data-Driven Control System for MEMSs Gyroscopes: Dynamics Estimation by Type-3 Fuzzy Systems

A New Data-Driven Control System for MEMSs Gyroscopes: Dynamics Estimation by Type-3 Fuzzy Systems

In this study, a novel data-driven control scheme is presented for MEMS gyroscopes (MEMS-Gs). The uncertainties are tackled by suggested type-3 fuzzy system with non-singleton fuzzification (NT3FS). Besides the dynamics uncertainties, the suggested NT3FS can also handle the input measurement errors....

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Auteurs principaux: Khalid A. Alattas, Ardashir Mohammadzadeh, Saleh Mobayen, Ayman A. Aly, Bassem F. Felemban, Mai The Vu
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
fuzzy system
learning algorithm
MEMS gyroscopes
machine learning
LMI set
data-driven control
Mechanical engineering and machinery
TJ1-1570
Accès en ligne:https://doaj.org/article/4773c643473d43c284b8bb423e35bb51
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https://doaj.org/article/4773c643473d43c284b8bb423e35bb51

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