A Novel Artificial Fish Swarm Algorithm for Recalibration of Fiber Optic Gyroscope Error Parameters

The artificial fish swarm algorithm (AFSA) is one of the state-of-the-art swarm intelligent techniques, which is widely utilized for optimization purposes. Fiber optic gyroscope (FOG) error parameters such as scale factors, biases and misalignment errors are relatively unstable, especially with the...

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Detalles Bibliográficos
Autores principales: Gao, Yanbin, Guan, Lianwu, Wang, Tingjun, Sun, Yunlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481985/
https://www.ncbi.nlm.nih.gov/pubmed/25951339
http://dx.doi.org/10.3390/s150510547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481985/
https://www.ncbi.nlm.nih.gov/pubmed/25951339
http://dx.doi.org/10.3390/s150510547

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