Nonlinear Recurrent Neural Network Predictive Control for Energy Distribution of a Fuel Cell Powered Robot

This paper presents a neural network predictive control strategy to optimize power distribution for a fuel cell/ultracapacitor hybrid power system of a robot. We model the nonlinear power system by employing time variant auto-regressive moving average with exogenous (ARMAX), and using recurrent neur...

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Detalles Bibliográficos
Autores principales: Chen, Qihong, Long, Rong, Quan, Shuhai, Zhang, Liyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951001/
https://www.ncbi.nlm.nih.gov/pubmed/24707206
http://dx.doi.org/10.1155/2014/509729

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951001/
https://www.ncbi.nlm.nih.gov/pubmed/24707206
http://dx.doi.org/10.1155/2014/509729

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