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Received:February 28, 2007Revised:June 19, 2007 |
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Almost sure exponential stability of neutral stochastic delayed cellular neural networks |
Liqun ZHOU, Guangda HU |
(Science of Mathematics College, Tianjin Normal University, Tianjin 300387, China; Department of Automatic, University of Science and Technology Beijing, Beijing 100083, China) |
Abstract: |
In this paper, almost sure exponential stability of neutral delayed cellular neural networks which are in the noised environment is studied by decomposing the state space to sub-regions in view of the saturation linearity of output functions of neurons of the cellular neural networks. Some algebraic criteria are obtained and easily verified. Some examples are given to illustrate the correctness of the results obtained. |
Key words: Neutral stochastic delayed cellular neural networks Brownian motion Almost sure exponential stability |