کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
408899 | 679047 | 2008 | 10 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Improved delay-dependent exponential stability criteria for discrete-time recurrent neural networks with time-varying delays Improved delay-dependent exponential stability criteria for discrete-time recurrent neural networks with time-varying delays](/preview/png/408899.png)
This paper is concerned with the problem of stability analysis for a class of discrete-time recurrent neural networks with time-varying delays. Under a weak assumption on the activation functions and using a new Lyapunov functional, a delay-dependent condition guaranteeing the global exponential stability of the concerned neural network is obtained in terms of a linear matrix inequality. It is shown that this stability condition is less conservative than some previous ones in the literature. When norm-bounded parameter uncertainties appear in a delayed discrete-time recurrent neural network, a delay-dependent robust exponential stability criterion is also presented. Numerical examples are provided to demonstrate the effectiveness of the proposed method.
Journal: Neurocomputing - Volume 72, Issues 1–3, December 2008, Pages 321–330