Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
410643 | Neurocomputing | 2009 | 5 Pages |
Abstract
In this paper, the problem on an unique equilibrium solution of the bidirectional associative memory neural networks with distributed time-varying delays is investigated via Lyapunov stability theory. By using topological degree theory and M-matrix theory, several sufficient conditions ensuring the existence, uniqueness and global asymptotic stability of equilibrium solution are derived. An illustrative example is given to demonstrate the effectiveness of the obtained results.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yongqiang Zhou, Shouming Zhong, Mao Ye, Zhiyuan Shi,