A Measurement-Data-Driven Control Approach towards Variance Reduction of Micromachined Resonant Accelerometer under Multi Unknown Disturbances

This paper first presents an adaptive expectation-maximization (AEM) control algorithm based on a measurement-data-driven model to reduce the variance of microelectromechanical system (MEMS) accelerometer sensor under multi disturbances. Significantly different characteristics of the disturbances, c...

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Detalles Bibliográficos
Autores principales: Shen, Qiang, Yang, Dengfeng, Zhou, Jie, Wu, Yixuan, Zhang, Yinan, Yuan, Weizheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562456/
https://www.ncbi.nlm.nih.gov/pubmed/31052222
http://dx.doi.org/10.3390/mi10050294

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562456/
https://www.ncbi.nlm.nih.gov/pubmed/31052222
http://dx.doi.org/10.3390/mi10050294

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