Exponential stability for impulsive BAM neural networks with time-varying delays and reaction-diffusion terms.
Song, Qiankun, Cao, Jinde (2007)
Advances in Difference Equations [electronic only]
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Song, Qiankun, Cao, Jinde (2007)
Advances in Difference Equations [electronic only]
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Yang, Xinsong, Huang, Chuangxia, Zhang, Defei, Long, Yao (2008)
Abstract and Applied Analysis
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Li, Yongkun, Hua, Yuchun, Fei, Yu (2009)
Journal of Inequalities and Applications [electronic only]
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Yang Liu, Rongjiang Yang, Jianquan Lu, Bo Wu, Xiushan Cai (2013)
International Journal of Applied Mathematics and Computer Science
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This paper is devoted to studying the globally exponential stability of impulsive high-order Hopfield-type neural networks with time-varying delays. In the process of impulsive effect, nonlinear and delayed factors are simultaneously considered. A new impulsive differential inequality is derived based on the Lyapunov-Razumikhin method and some novel stability criteria are then given. These conditions, ensuring the global exponential stability, are simpler and less conservative than some...
Zhao, Kaihong, Li, Yongkun (2010)
Discrete Dynamics in Nature and Society
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Yin, Lizi, Fu, Xilin (2011)
Advances in Difference Equations [electronic only]
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Pan, Jie, Zhong, Shouming (2009)
Discrete Dynamics in Nature and Society
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Huang, Chuangxia, Yang, Xinsong, He, Yigang (2009)
Discrete Dynamics in Nature and Society
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Pan, Jie, Zhong, Shouming (2009)
Advances in Difference Equations [electronic only]
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Burton, T.A. (1991)
Journal of Applied Mathematics and Stochastic Analysis
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Ma, Zhixia, Wang, Xiaohu (2009)
Journal of Inequalities and Applications [electronic only]
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Chen, Chao, Huang, Zhenkun, Bin, Honghua, Liu, Xiaohui (2009)
Discrete Dynamics in Nature and Society
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