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基于线性矩阵不等式的变时滞神经网络指数稳定性

An Exponential Stability of Neural Networks with Time-varying Delays Based on LMI approach
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摘要 进一步研究带有时滞的细胞神经网络的全局指数稳定性.允许模型带有不可微和无限制的信号函数,利用线性矩阵不等式(LMI)方法和同胚定理证明了平衡点的存在和唯一性,而且导出了这个网络的全局指数稳定性的一些新的充分条件. In this paper, cellular neural networks model with delays was investigated. The models including nondifferentiable and unbounded signal function are permitted, and hnear matrix inequality (LMI) framework and Homeomorphism theorem were used to prove the existence and uniqueness of the equilibrium. Some new sufficient conditions ensuring global exponential stability of the networks were derived.
出处 《佳木斯大学学报(自然科学版)》 CAS 2009年第3期454-456,467,共4页 Journal of Jiamusi University:Natural Science Edition
关键词 平衡点 全局指数稳定性 线性矩阵不等式 equilibrium point global exponential stability linear matrix inequality
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参考文献12

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