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 language | English |
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Pages (from-to) | 1989-1993 |
Number of pages | 5 |
Journal | Proceedings of the American Control Conference |
Volume | 3 |
State | Published - 1997 |
Externally published | Yes |
Event | Proceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA Duration: 4 Jun 1997 → 6 Jun 1997 |