Periodic Solutions and Exponential Stability of a Class of Neural Networks with Time-Varying Delays
Employing fixed point theorem, we make a further investigation of a class of neural networks with delays in this paper. A family of sufficient conditions is given for checking global exponential stability. These results have important leading significance in the design and applications of globally s...
Saved in:
Main Authors: | Yingxin Guo, Mingzhi Xue |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2009-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2009/415786 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Globally Exponential Stability of Periodic Solutions to Impulsive Neural Networks with Time-Varying Delays
by: Yuanfu Shao, et al.
Published: (2012-01-01) -
Existence and Global Exponential Stability of Periodic Solutions for General Neural Networks with Time-Varying Delays
by: Xinsong Yang
Published: (2008-01-01) -
Existence and Global Exponential Stability of Periodic Solution to Cohen-Grossberg BAM Neural Networks with Time-Varying Delays
by: Kaiyu Liu, et al.
Published: (2012-01-01) -
Global Exponential Stability of Discrete-Time Neural Networks with Time-Varying Delays
by: S. Udpin, et al.
Published: (2013-01-01) -
Existence and Exponential Stability of Periodic Solution for a Class of Generalized Neural Networks with Arbitrary Delays
by: Yimin Zhang, et al.
Published: (2009-01-01)