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一类时滞细胞神经网络稳定性判断标准(英文)

Stability criteria for delayed cellular neural networks
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摘要 目的研究一类细胞神经网络。方法通过构造合适的Lyapunov函数和利用基本不等式技巧na1a2…an≤an1+an2+…+ann进行研究。结果获得了时滞细胞神经网络(DCNNs)全局渐进稳定的判断标准。结论改进和一般化了相关结果。 Aim To study a class of delayed cellular neural networks. Methods Suitable Lyapunov functionals were constructed and elementary inequality technique na1 a2 … an≤a1^n + a2^n + ... + an^n, was applied. Results A set of criteria on the global asymptotic stability of delayed cellular neural networks (DCNNs) were obtained. Conclusion Some of the related results were generalized and improved.
出处 《宝鸡文理学院学报(自然科学版)》 CAS 2006年第2期85-91,共7页 Journal of Baoji University of Arts and Sciences(Natural Science Edition)
关键词 细胞神经网络 时滞 全局渐进稳定 LYAPUNOV函数 cellular neural networks delay global asymptotic stability Lyapunov functional
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