Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1893667 | Chaos, Solitons & Fractals | 2008 | 11 Pages |
Abstract
Based on the proper Lyapunov functions and the Jacobsthal liner inequality, some sufficient conditions are presented in this paper for global asymptotic stability of delay bidirectional associative memory neural networks with impulses. The obtained results are independently of the delay parameters and can be easily verified. Also, some remarks and an illustrative example are given to demonstrate the effectiveness of the obtained results.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Jun Chen, Baotong Cui,