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
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Displaying similar documents to “Stochastic stability of neural networks with both Markovian jump parameters and continuously distributed delays.”
Mean square exponential stability of stochastic Cohen-Grossberg neural networks with unbounded distributed delays.
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Huang, Chuangxia, Yang, Xinsong, He, Yigang, Huang, Lehua (2011)
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Zhu, Enwen, Zhang, Hanjun, Zou, Jiezhong (2010)
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Chen, Yonggang, Bi, Weiping, Wu, Yuanyuan (2008)
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Discrete Dynamics in Nature and Society
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Stability analysis of stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying delays.
Huang, Chuangxia, Yang, Xinsong, He, Yigang (2009)
Discrete Dynamics in Nature and Society
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Discrete Dynamics in Nature and Society
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Stability of impulsive hopfield neural networks with Markovian switching and time-varying delays
Ramachandran Raja, Rathinasamy Sakthivel, Selvaraj Marshal Anthoni, Hyunsoo Kim (2011)
International Journal of Applied Mathematics and Computer Science
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The paper is concerned with stability analysis for a class of impulsive Hopfield neural networks with Markovian jumping parameters and time-varying delays. The jumping parameters considered here are generated from a continuous-time discrete-state homogenous Markov process. By employing a Lyapunov functional approach, new delay-dependent stochastic stability criteria are obtained in terms of linear matrix inequalities (LMIs). The proposed criteria can be easily checked by using some standard...
Dynamical analysis of DTNN with impulsive effect.
Chen, Chao, Huang, Zhenkun, Bin, Honghua, Liu, Xiaohui (2009)
Discrete Dynamics in Nature and Society
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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
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