Diseño de un esquema de control óptimo neuronal


Authors

  • Diego Aldolfo Mejía G.
  • Alexander Molina C.
  • Julio Cesar Montero O.

Abstract

Este artículo presenta el desarrollo de un esquema de control óptimo neuronal que parte del estudio de conceptos del cálculo variacional y su interacción con las Redes Neuronales Artificiales (RNA), generando un algoritmo de entrenamiento y una ley de control. Tal esquema efectúa una realimentación óptima de las variables de estado a través de la RNA. El controlador logra que la salida del sistema físico siga una trayectoria deseada de manera óptima y ajustada a un modelo de referencia. El neuro-control rechaza los efectos deperturbaciones y responde bien frente a variaciones paramétricas.

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Published

2006-01-12

How to Cite

Mejía G., D. A., Molina C., A., & Montero O., J. C. (2006). Diseño de un esquema de control óptimo neuronal. Scientia Et Technica, 3(32). Retrieved from https://revistas.utp.edu.co/index.php/revistaciencia/article/view/6249

Issue

Vol. 3 No. 32 (2006)

Section

Eléctrica

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