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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Bibliographic Details
Main Authors: Khalid A. Alattas, Ardashir Mohammadzadeh, Saleh Mobayen, Ayman A. Aly, Bassem F. Felemban, Mai The Vu
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Micromachines
Subjects:
fuzzy system
learning algorithm
MEMS gyroscopes
machine learning
LMI set
data-driven control
Online Access:https://www.mdpi.com/2072-666X/12/11/1390

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