Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1706837 | Applied Mathematical Modelling | 2009 | 13 Pages |
Abstract
In this paper, global exponential stability of high order recurrent neural network with time-varying delay and bounded activation functions is investigated. Some improved conditions are obtained involving external input, connection weights, and time delays of recurrent neural network. Moreover, the location of the equilibrium point can be estimated. In addition, two examples are demonstrated to illustrate the effectiveness of the proposed criteria in comparison with some existing results.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Fang Qiu, Baotong Cui, Wei Wu,