Using neural networks to estimate regions of stability

Enrique D. Ferreira; Bruce H. Krogh

Using neural networks to estimate regions of stability

Enrique D. Ferreira, Bruce H. Krogh

Carnegie Mellon University

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

6 Citas (Scopus)

Resumen

This paper presents a new method to estimate the region of stability of an asymptotically stable equilibrium point of an autonomous nonlinear system using a neural network. In contrast to model-based analytical methods, this approach uses empirical data from the system to train the neural network. The neural network results are compared with estimates obtained by previously proposed methods for some sample two dimensional problems and for an inverted pendulum.

Idioma original	Inglés
Páginas (desde-hasta)	1989-1993
Número de páginas	5
Publicación	Proceedings of the American Control Conference
Volumen	3
Estado	Publicada - 1997
Publicado de forma externa	Sí
Evento	Proceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA Duración: 4 jun. 1997 → 6 jun. 1997

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title = "Using neural networks to estimate regions of stability",

abstract = "This paper presents a new method to estimate the region of stability of an asymptotically stable equilibrium point of an autonomous nonlinear system using a neural network. In contrast to model-based analytical methods, this approach uses empirical data from the system to train the neural network. The neural network results are compared with estimates obtained by previously proposed methods for some sample two dimensional problems and for an inverted pendulum.",

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year = "1997",

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journal = "Proceedings of the American Control Conference",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1997 American Control Conference. Part 3 (of 6) ; Conference date: 04-06-1997 Through 06-06-1997",

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TY - JOUR

T1 - Using neural networks to estimate regions of stability

AU - Ferreira, Enrique D.

AU - Krogh, Bruce H.

PY - 1997

Y1 - 1997

N2 - This paper presents a new method to estimate the region of stability of an asymptotically stable equilibrium point of an autonomous nonlinear system using a neural network. In contrast to model-based analytical methods, this approach uses empirical data from the system to train the neural network. The neural network results are compared with estimates obtained by previously proposed methods for some sample two dimensional problems and for an inverted pendulum.

AB - This paper presents a new method to estimate the region of stability of an asymptotically stable equilibrium point of an autonomous nonlinear system using a neural network. In contrast to model-based analytical methods, this approach uses empirical data from the system to train the neural network. The neural network results are compared with estimates obtained by previously proposed methods for some sample two dimensional problems and for an inverted pendulum.

UR - http://www.scopus.com/inward/record.url?scp=0030689405&partnerID=8YFLogxK

M3 - Artículo de la conferencia

AN - SCOPUS:0030689405

SN - 0743-1619

VL - 3

SP - 1989

EP - 1993

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

T2 - Proceedings of the 1997 American Control Conference. Part 3 (of 6)

Y2 - 4 June 1997 through 6 June 1997

ER -

Using neural networks to estimate regions of stability

Resumen

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