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

Li, Yongkun; Hua, Yuchun; Fei, Yu

Displaying similar documents to “Global exponential stability of delayed Cohen-Grossberg BAM neural networks with impulses on time scales.”

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

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

Abstract and Applied Analysis

Similarity:

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

Song, Qiankun, Cao, Jinde (2007)

Advances in Difference Equations [electronic only]

Similarity:

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

Similarity:

Existence and stability of antiperiodic solution for a class of generalized neural networks with impulses and arbitrary delays on time scales.

Li, Yongkun, Xu, Erliang, Zhang, Tianwei (2010)

Journal of Inequalities and Applications [electronic only]

Similarity:

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

Similarity:

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...