On global exponential stability of discrete-time Hopfield neural networks with variable delays.

Zhang, Qiang; Wei, Xiaopeng; Xu, Jin

Displaying similar documents to “On global exponential stability of discrete-time Hopfield neural networks with variable delays.”

Delay-dependent exponential stability for discrete-time BAM neural networks with time-varying delays.

Chen, Yonggang, Bi, Weiping, Wu, Yuanyuan (2008)

Discrete Dynamics in Nature and Society

Similarity:

Boundedness and stability for discrete-time delayed neural network with complex-valued linear threshold neurons.

Duan, Chengjun, Song, Qiankun (2010)

Discrete Dynamics in Nature and Society

Similarity:

Dynamical analysis of DTNN with impulsive effect.

Chen, Chao, Huang, Zhenkun, Bin, Honghua, Liu, Xiaohui (2009)

Discrete Dynamics in Nature and Society

Similarity:

Mean square exponential stability of stochastic Cohen-Grossberg neural networks with unbounded distributed delays.

Huang, Chuangxia, Huang, Lehua, He, Yigang (2010)

Discrete Dynamics in Nature and Society

Similarity:

New improved exponential stability criteria for discrete-time neural networks with time-varying delay.

Liu, Zixin, Lv, Shu, Zhong, Shouming, Ye, Mao (2009)

Discrete Dynamics in Nature and Society

Similarity:

Stability analysis and absolute synchronization of a three-unit delayed neural network

Lin Jun Wang, You Xiang Xie, Zhou Chao Wei, Jian Peng (2015)

Kybernetika

Similarity:

In this paper, we consider a three-unit delayed neural network system, investigate the linear stability, and obtain some sufficient conditions ensuring the absolute synchronization of the system by the Lyapunov function. Numerical simulations show that the theoretically predicted results are in excellent agreement with the numerically observed behavior.