Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
406786 | Neurocomputing | 2014 | 11 Pages |
Abstract
In this paper, under the assumption that the activation functions only satisfy global Lipschitz conditions, a novel LMI-based sufficient condition for global asymptotic stability of equilibrium point of a class of BAM neural networks with reaction–diffusion terms and distributed delays is obtained by using degree theory, LMI method, inequalities technique and constructing Lyapunov functionals. In our results, the assumptions for boundedness and monotonicity in existing papers on the activation functions are removed.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zhiyong Quan, Lihong Huang, Shenghua Yu, Zhengqiu Zhang,