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Volume 6, Issue 1
Global Exponential Stability of Cellular Neural Network with Discrete and Distributed Delays

JunfengCui

J. Info. Comput. Sci. , 6 (2011), pp. 027-034.

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  • Abstract
This paper is concerned with analysis problem for the global exponential stability of a class of recurrent neural networks (RNNs) with mixed discrete and distributed delays. We give the sufficient condition of global exponential stability of cellular neural network with mixed discrete and distributed delays by employing the Lyapunov-Krasovskii functional and Young inequality, in addition, the example is provided to illustrate the applicability of the result.
  • Keywords

Global exponential stability cellular neural network discrete and distributed delays Lyapunov–Krasovskii functional Young inequality

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COPYRIGHT: © Global Science Press

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@Article{JICS-6-027, author = {JunfengCui}, title = {Global Exponential Stability of Cellular Neural Network with Discrete and Distributed Delays}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {6}, number = {1}, pages = {027--034}, abstract = {This paper is concerned with analysis problem for the global exponential stability of a class of recurrent neural networks (RNNs) with mixed discrete and distributed delays. We give the sufficient condition of global exponential stability of cellular neural network with mixed discrete and distributed delays by employing the Lyapunov-Krasovskii functional and Young inequality, in addition, the example is provided to illustrate the applicability of the result. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22692.html} }
TY - JOUR T1 - Global Exponential Stability of Cellular Neural Network with Discrete and Distributed Delays AU - JunfengCui JO - Journal of Information and Computing Science VL - 1 SP - 027 EP - 034 PY - 2024 DA - 2024/01 SN - 6 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22692.html KW - Global exponential stability KW - cellular neural network KW - discrete and distributed delays KW - Lyapunov–Krasovskii functional KW - Young inequality AB - This paper is concerned with analysis problem for the global exponential stability of a class of recurrent neural networks (RNNs) with mixed discrete and distributed delays. We give the sufficient condition of global exponential stability of cellular neural network with mixed discrete and distributed delays by employing the Lyapunov-Krasovskii functional and Young inequality, in addition, the example is provided to illustrate the applicability of the result.
JunfengCui. (2024). Global Exponential Stability of Cellular Neural Network with Discrete and Distributed Delays. Journal of Information and Computing Science. 6 (1). 027-034. doi:
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