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....
Guardado en:
Autores principales: | Khalid A. Alattas, Ardashir Mohammadzadeh, Saleh Mobayen, Ayman A. Aly, Bassem F. Felemban, Mai The Vu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4773c643473d43c284b8bb423e35bb51 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A Novel Design of High Resolution MEMS Gyroscope Using Mode-Localization in Weakly Coupled Resonators
por: Syed Ali Raza Bukhari, et al.
Publicado: (2021) -
ZRO Drift Reduction of MEMS Gyroscopes via Internal and Packaging Stress Release
por: Pengfei Xu, et al.
Publicado: (2021) -
Development of a suspended-load rotation-control device for cranes with gyroscopic damper and control by wind force (concept, modeling and experiments)
por: Masaomi WADA, et al.
Publicado: (2020) -
Multi-Loop Recurrent Neural Network Fractional-Order Terminal Sliding Mode Control of MEMS Gyroscope
por: Juntao Fei, et al.
Publicado: (2020) -
Observer-Based Control for Nonlinear Time-Delayed Asynchronously Switching Systems: A New LMI Approach
por: Amin Taghieh, et al.
Publicado: (2021)