Sensorless Estimation Based on Neural Networks Trained with the Dynamic Response Points

In the present work, a neuronal dynamic response prediction system is shown to estimate the response of multiple systems remotely without sensors. For this, a set of Neural Networks and the response to the step of a stable system is used. Six basic characteristics of the dynamic response were extrac...

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Detalles Bibliográficos
Autores principales: Rodríguez-Abreo, Omar, Castillo Velásquez, Francisco Antonio, Zavala de Paz, Jonny Paul, Martínez Godoy, José Luis, Garcia Guendulain, Crescencio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537841/
https://www.ncbi.nlm.nih.gov/pubmed/34695932
http://dx.doi.org/10.3390/s21206719

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537841/
https://www.ncbi.nlm.nih.gov/pubmed/34695932
http://dx.doi.org/10.3390/s21206719

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