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

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