Using Neural Networks to Estimate Regions of Stability
Conference Paper, Proceedings of American Control Conference (ACC '97), Vol. 3, pp. 1989 - 1993, June, 1997
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 samples of two dimensional problems and for an inverted pendulum.
BibTeX
@conference{Ferreira-1997-14405,author = {Enrique Ferreira and Bruce Krogh},
title = {Using Neural Networks to Estimate Regions of Stability},
booktitle = {Proceedings of American Control Conference (ACC '97)},
year = {1997},
month = {June},
volume = {3},
pages = {1989 - 1993},
}
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.