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| Título: | Training guidelines for neural networks to estimate stability regions |
| Autor: | Ferreira, Enrique Krogh, Bruce |
| Tipo: | Preprint |
| Palabras clave: | Neural networks, Power system stability, State estimation, Linear systems, Chemical reactors, Nonlinear systems |
| Fecha de publicación: | 1999 |
| Resumen: | This paper presents new results on the use of neural networks to estimate stability regions for autonomous nonlinear systems. In contrast to model-based analytical methods, this approach uses empirical data from the system to train the neural network. A method is developed to generate confidence intervals for the regions identified by the trained neural network. The neural network results are compared with estimates obtained by previously proposed methods for a standard two-dimensional example. |
| Descripción: | Trabajo presentado a American Control Conference 1999. |
| Editorial: | IEEE |
| Citación: | Ferreira, Enrique, Krogh, Bruce. Training guidelines for neural networks to estimate stability regions [Preprint] Publicado en American Control Conference, San Diego, California, 1999. |
| Licencia: | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| Aparece en las colecciones: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| FK99.pdf | 120,42 kB | Adobe PDF | Visualizar/Abrir |
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