Robust Adaptive Recurrent Cerebellar Model Neural Network for Non-linear System Based on GPSO

A robust adaptive recurrent cerebellar model articulation controller (RARC) neural network for non-linear systems using the genetic particle swarm optimization (GPSO) algorithm is presented in this study. The RARC is used as the principal tracking controller and the robust compensation controller is...

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Detalles Bibliográficos
Autores principales: Guan, Jian-sheng, Hong, Shao-jiang, Kang, Shao-bo, Zeng, Yong, Sun, Yuan, Lin, Chih-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548856/
https://www.ncbi.nlm.nih.gov/pubmed/31191209
http://dx.doi.org/10.3389/fnins.2019.00390

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548856/
https://www.ncbi.nlm.nih.gov/pubmed/31191209
http://dx.doi.org/10.3389/fnins.2019.00390

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