Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4630034 | Applied Mathematics and Computation | 2012 | 12 Pages |
Abstract
In this paper, the multistability and multiperiodicity issues are discussed for 2n2n-dimensional delayed bidirectional associative memory neural networks with r -level discontinuous activation functions. Sufficient conditions are established to ensure the existence of rnrn locally exponentially stable equilibria. As an extension of multistability, conditions are established to ensure the existence of rnrn locally exponentially stable periodic solutions when external inputs are periodic. Finally, two examples are given to illustrate the effectiveness of the obtained results.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yujiao Huang, Huaguang Zhang, Zhanshan Wang,