Pseudo almost-periodic solution of shunting inhibitory cellular neural networks with delay.
Wu, Haihui (2011)
Journal of Applied Mathematics
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Displaying similar documents to “Existence and global exponential stability of almost periodic solutions for SICNNs with nonlinear behaved functions and mixed delays.”
Pseudo almost-periodic solution of shunting inhibitory cellular neural networks with delay.
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Wang, Yi, Ma, Zhongjun, Liu, Hongli (2009)
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Jalab, H.A., Ibrahim, R.W. (2009)
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Exponential convergence of shunting inhibitory cellular neural networks with continuously distributed delays
Qiyuan Zhou, Changhong Zhao (2010)
Annales Polonici Mathematici
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We study delay shunting inhibitory cellular neural networks without almost periodic coefficients. Some sufficient conditions are established to ensure that all solutions of the networks converge exponentially to an almost periodic function. This complements previously known results.
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Bai, C., Li, C. (2010)
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Journal of Inequalities and Applications [electronic only]
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Spectral properties of weakly almost periodic cosine functions
Valentina Casarino (1998)
Atti della Accademia Nazionale dei Lincei. Classe di Scienze Fisiche, Matematiche e Naturali. Rendiconti Lincei. Matematica e Applicazioni
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The spectral structure of the infinitesimal generator of a strongly continuous cosine function of linear bounded operators is investigated, under assumptions on the almost periodic behaviour of applications generated, in various ways, by C. Moreover, a first approach is presented to the analysis of connection between cosine functions and dynamical systems.
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Alzabut, J.O., Nieto, J.J., Stamov, G.Tr. (2009)
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Periodic solutions and exponential stability of a class of neural networks with time-varying delays.
Guo, Yingxin, Xue, Mingzhi (2009)
Discrete Dynamics in Nature and Society
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Existence and exponential stability of a periodic solution for fuzzy cellular neural networks with time-varying delays
Qianhong Zhang, Lihui Yang, Daixi Liao (2011)
International Journal of Applied Mathematics and Computer Science
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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.
Existence and global stability of periodic solution for delayed discrete high-order Hopfield-type neural networks.
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Discrete Dynamics in Nature and Society
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