Exponential stability for impulsive BAM neural networks with time-varying delays and reaction-diffusion terms.

Song, Qiankun; Cao, Jinde

Displaying similar documents to “Exponential stability for impulsive BAM neural networks with time-varying delays and reaction-diffusion terms.”

Spatial discretization of an impulsive Cohen-Grossberg neural network with time-varying and distributed delays and reaction-diffusion terms.

Akca, Haydar, Covachev, Valery (2009)

Analele Ştiinţifice ale Universităţii “Ovidius" Constanţa. Seria: Matematică

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Global exponential stability of delayed Cohen-Grossberg BAM neural networks with impulses on time scales.

Li, Yongkun, Hua, Yuchun, Fei, Yu (2009)

Journal of Inequalities and Applications [electronic only]

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Dynamics of Cohen-Grossberg neural networks with mixed delays and impulses.

Yang, Xinsong, Huang, Chuangxia, Zhang, Defei, Long, Yao (2008)

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Stability analysis of high-order Hopfield-type neural networks based on a new impulsive differential inequality

Yang Liu, Rongjiang Yang, Jianquan Lu, Bo Wu, Xiushan Cai (2013)

International Journal of Applied Mathematics and Computer Science

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This paper is devoted to studying the globally exponential stability of impulsive high-order Hopfield-type neural networks with time-varying delays. In the process of impulsive effect, nonlinear and delayed factors are simultaneously considered. A new impulsive differential inequality is derived based on the Lyapunov-Razumikhin method and some novel stability criteria are then given. These conditions, ensuring the global exponential stability, are simpler and less conservative than some...