Passivity Analysis of Dynamic Neural Networks with Different Time-scales |
| |
Authors: | Wen Yu Xiaoou Li |
| |
Affiliation: | (1) Departamento de Control Automatico, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, México, D.F., 07360, México;(2) Departamento de Computación, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, México, D.F., 07360, México |
| |
Abstract: | Dynamic neural networks with different time-scales include the aspects of fast and slow phenomenons. Some applications require
that the equilibrium points of the designed networks are stable. In this paper, the passivity-based approach is used to derive
stability conditions for dynamic neural networks with different time-scales. Several stability properties, such as passivity,
asymptotic stability, input-to-state stability and bounded input bounded output stability, are guaranteed in certain senses.
A numerical example is also given to demonstrate the effectiveness of the theoretical results. |
| |
Keywords: | different time scales neural networks passivity stability |
本文献已被 SpringerLink 等数据库收录! |
|