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
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Displaying similar documents to “Delay dependent complex-valued bidirectional associative memory neural networks with stochastic and impulsive effects: An exponential stability approach”
Delay-dependent exponential stability for discrete-time BAM neural networks with time-varying delays.
Stability analysis for neutral-type impulsive neural networks with delays
Bo Du, Yurong Liu, Dan Cao (2017)
Kybernetika
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By using linear matrix inequality (LMI) approach and Lyapunov functional method, we obtain some new sufficient conditions ensuring global asymptotic stability and global exponential stability of a generalized neutral-type impulsive neural networks with delays. A simulation example is provided to demonstrate the usefulness of the main results obtained. The main contribution in this paper is that a new neutral-type impulsive neural networks with variable delays is studied by constructing...
Stability analysis of recurrent neural networks with random delay and Markovian switching.
Zhu, Enwen, Wang, Yong, Wang, Yueheng, Zhang, Hanjun, Zou, Jiezhong (2010)
Journal of Inequalities and Applications [electronic only]
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On global exponential stability of discrete-time Hopfield neural networks with variable delays.
Zhang, Qiang, Wei, Xiaopeng, Xu, Jin (2007)
Discrete Dynamics in Nature and Society
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Stability of stochastic reaction-diffusion recurrent neural networks with unbounded distributed delays.
Huang, Chuangxia, Yang, Xinsong, He, Yigang, Huang, Lehua (2011)
Discrete Dynamics in Nature and Society
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Stochastic stability of neural networks with both Markovian jump parameters and continuously distributed delays.
Zhu, Quanxin, Cao, Jinde (2009)
Discrete Dynamics in Nature and Society
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Global exponential stability of impulsive dynamical systems with distributed delays.
Long, Shujun, Xu, Daoyi, Zhu, Wei (2007)
Electronic Journal of Qualitative Theory of Differential Equations [electronic only]
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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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Stochastic passivity of uncertain neural networks with time-varying delays.
Zhou, Jianting, Song, Qiankun, Yang, Jianxi (2009)
Abstract and Applied Analysis
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Asymptotical mean square stability of Cohen-Grossberg neural networks with random delay.
Zhu, Enwen, Zhang, Hanjun, Zou, Jiezhong (2010)
Journal of Inequalities and Applications [electronic only]
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-stability of impulsive neural networks with unbounded time-varying delays and continuously distributed delays.
Yin, Lizi, Fu, Xilin (2011)
Advances in Difference Equations [electronic only]
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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
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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.