Cargando…
Modeling and Compensation of Random Drift of MEMS Gyroscopes Based on Least Squares Support Vector Machine Optimized by Chaotic Particle Swarm Optimization
MEMS (Micro Electro Mechanical System) gyroscopes have been widely applied to various fields, but MEMS gyroscope random drift has nonlinear and non-stationary characteristics. It has attracted much attention to model and compensate the random drift because it can improve the precision of inertial de...
Autores principales: | Xing, Haifeng, Hou, Bo, Lin, Zhihui, Guo, Meifeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677295/ https://www.ncbi.nlm.nih.gov/pubmed/29027952 http://dx.doi.org/10.3390/s17102335 |
Ejemplares similares
-
Chaotic Particle Swarm Optimization with Mutation for Classification
por: Assarzadeh, Zahra, et al.
Publicado: (2015) -
Bearing Fault Diagnosis Using a Particle Swarm Optimization-Least Squares Wavelet Support Vector Machine Classifier
por: Van, Mien, et al.
Publicado: (2020) -
Effect of Quadrature Control Mode on ZRO Drift of MEMS Gyroscope and Online Compensation Method
por: Bu, Feng, et al.
Publicado: (2022) -
Double-Bottom Chaotic Map Particle Swarm Optimization Based on Chi-Square Test to Determine Gene-Gene Interactions
por: Yang, Cheng-Hong, et al.
Publicado: (2014) -
SAW Torque Sensor Gyroscopic Effect Compensation by Least Squares Support Vector Machine Algorithm Based on Chaos Estimation of Distributed Algorithm
por: Han, Wei, et al.
Publicado: (2019)