Existence and exponential stability of periodic solution for a class of generalized neural networks with arbitrary delays.
Zhang, Yimin, Li, Yongkun, Ye, Kuohui (2009)
Abstract and Applied Analysis
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Zhang, Yimin, Li, Yongkun, Ye, Kuohui (2009)
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Guo, Yingxin, Xue, Mingzhi (2009)
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Huang, Chuangxia, He, Yigang, Huang, Lihong (2008)
Journal of Inequalities and Applications [electronic only]
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Li, Yongkun, Zhu, Lifei, Liu, Wenxiang (2005)
International Journal of Mathematics and Mathematical Sciences
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Xiang, Hong, Yan, Ke-Ming, Wang, Bai-Yan (2005)
Discrete Dynamics in Nature and Society
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Lu, Chun (2010)
Discrete Dynamics in Nature and Society
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Xiang, Hongjun, Cao, Jinde (2008)
Journal of Applied Mathematics
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Wang, Yi, Ma, Zhongjun, Liu, Hongli (2009)
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Qianhong Zhang, Lihui Yang, Daixi Liao (2011)
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Fuzzy cellular neural networks with time-varying delays are considered. Some sufficient conditions for the existence and exponential stability of periodic solutions are obtained by using the continuation theorem based on the coincidence degree and the differential inequality technique. The sufficient conditions are easy to use in pattern recognition and automatic control. Finally, an example is given to show the feasibility and effectiveness of our methods.
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Discrete Dynamics in Nature and Society
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Discrete Dynamics in Nature and Society
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