Almost sure exponential stability of delayed cellular neural networks

Almost sure exponential stability of delayed cellular neural networks

The stability of stochastic delayed Cellular Neural Networks (DCNN) is investigated in this paper. Using suitable Lyapunov functional and the semimartingale convergence theorem, we obtain some sufficient conditions for checking the almost sure exponential stability of the DCNN.

Bibliographic Details
Main Authors: Chuangxia Huang, Yigang He, Lihong Huang
Format: Article
Language:English
Published: Texas State University 2007-03-01
Series:Electronic Journal of Differential Equations
Subjects:
Stochastic
cellular neural networks
almost sure exponential stability
Lyapunov functional.
Online Access:http://ejde.math.txstate.edu/Volumes/2007/44/abstr.html

Internet

http://ejde.math.txstate.edu/Volumes/2007/44/abstr.html

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