Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1706702 | Applied Mathematical Modelling | 2010 | 8 Pages |
Abstract
In this paper, we consider the dynamical behavior of delayed Cohen–Grossberg neural networks with discontinuous activation functions. Some sufficient conditions are derived to guarantee the existence, uniqueness and global stability of the equilibrium point of the neural network. Convergence behavior for both state and output is discussed. The constraints imposed on the interconnection matrices, which concern the theory of M-matrices, are easily verifiable and independent of the delay parameter. The obtained results improve and extend the previous results. Finally, we give an numerical example to illustrate the effectiveness of the theoretical results.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Yimin Meng, Lihong Huang, Zhenyuan Guo, Qingwen Hu,