Exponential stability and periodicity of impulsive cellular neural networks with time delays |
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Authors: | Fengjian Yang Xinming Chen Jianfu Yang |
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Institution: | Department of Computational Science, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China |
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Abstract: | This paper is concerned with the stability and periodicity for a class of impulsive neural networks with delays. By means of the Fixed point theory, Lyapunov functional and analysis technique, some sufficient conditions of exponential stability and periodicity are obtained. We can see that impulses do contribution to the stability and periodicity. An example is given to demonstrate the effectiveness of the obtained results. |
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Keywords: | Impulse Neural networks Time delays Stability Fixed point |
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