کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
843057 | 1470532 | 2009 | 13 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Stability analysis in Lagrange sense for a non-autonomous Cohen–Grossberg neural network with mixed delays Stability analysis in Lagrange sense for a non-autonomous Cohen–Grossberg neural network with mixed delays](/preview/png/843057.png)
The paper discusses the global exponential stability in the Lagrange sense for a non-autonomous Cohen–Grossberg neural network (CGNN) with time-varying and distributed delays. The boundedness and global exponential attractivity of non-autonomous CGNN with time-varying and distributed delays are investigated by constructing appropriate Lyapunov-like functions. Moreover, we provide verifiable criteria on the basis of considering three different types of activation function, which include both bounded and unbounded activation functions. These results can be applied to analyze monostable as well as multistable biology neural networks due to making no assumptions on the number of equilibria. Meanwhile, the results obtained in this paper are more general and challenging than that of the existing references. In the end, an illustrative example is given to verify our results.
Journal: Nonlinear Analysis: Theory, Methods & Applications - Volume 70, Issue 12, 15 June 2009, Pages 4294–4306