Using neural networks to estimate regions of stability

Enrique D. Ferreira, Bruce H. Krogh

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

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.

Original languageEnglish
Pages (from-to)1989-1993
Number of pages5
JournalProceedings of the American Control Conference
Volume3
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA
Duration: 4 Jun 19976 Jun 1997

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