Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode

2014 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2014.6889619 ◽

2014 ◽

Author(s):

Wei Zhou ◽

Jacek M. Zurada

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Stability Condition ◽

Recurrent Neural Networks

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Less conservative stability condition for uncertain discrete-time recurrent neural networks with time-varying delays

Neurocomputing ◽

10.1016/j.neucom.2015.09.030 ◽

2016 ◽

Vol 173 ◽

pp. 1578-1588 ◽

Author(s):

De-hui Lin ◽

Jun Wu ◽

Jian-ning Li

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Stability Condition ◽

Recurrent Neural Networks ◽

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A new stability condition for discrete time linear threshold recurrent neural networks

Fifth International Conference on Intelligent Control and Information Processing ◽

10.1109/icicip.2014.7010321 ◽

2014 ◽

Author(s):

Wei Zhou ◽

Jacek M. Zurada

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Stability Condition ◽

Recurrent Neural Networks ◽

Linear Threshold ◽

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Novel global exponential stability condition for discrete-time recurrent neural networks with random time-varying delays:

2010 17th Iranian Conference of Biomedical Engineering (ICBME) ◽

10.1109/icbme.2010.5705031 ◽

2010 ◽

Author(s):

Maryam Fattahi ◽

Hamidreza Momeni

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Discrete Time ◽

Stability Condition ◽

Recurrent Neural Networks ◽

Global Exponential Stability ◽

Random Time ◽

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A new stability condition for discrete time recurrent neural networks with complex-valued linear threshold neurons

2014 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2014.6889621 ◽

2014 ◽

Author(s):

Wei Zhou ◽

Jacek M. Zurada

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Stability Condition ◽

Recurrent Neural Networks ◽

Linear Threshold ◽

Linear Threshold Neurons ◽

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New robust stability condition for discrete-time recurrent neural networks with time-varying delays and nonlinear perturbations

Neurocomputing ◽

10.1016/j.neucom.2016.09.024 ◽

2017 ◽

Vol 219 ◽

pp. 203-209 ◽

Author(s):

Changchun Hua ◽

Shuangshuang Wu ◽

Xinping Guan

Keyword(s):

Neural Networks ◽

Robust Stability ◽

Discrete Time ◽

Stability Condition ◽

Recurrent Neural Networks ◽

Time Varying ◽

Nonlinear Perturbations

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A delay-dependent LMI approach to dynamics analysis of discrete-time recurrent neural networks with time-varying delays

Physics Letters A ◽

10.1016/j.physleta.2007.03.088 ◽

2007 ◽

Vol 368 (1-2) ◽

pp. 134-145 ◽

Author(s):

Qiankun Song ◽

Zidong Wang

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Dynamics Analysis ◽

Time Varying ◽

Lmi Approach ◽

Delay Dependent

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Adaptive control of discrete-time nonlinear systems using recurrent neural networks

IEE Proceedings - Control Theory and Applications ◽

10.1049/ip-cta:19949976 ◽

1994 ◽

Vol 141 (3) ◽

pp. 169-176 ◽

Author(s):

L. Jin ◽

M.M. Gupta ◽

P.N. Nikiforuk

Keyword(s):

Neural Networks ◽

Adaptive Control ◽

Nonlinear Systems ◽

Discrete Time ◽

Recurrent Neural Networks

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Universal approximation using dynamic recurrent neural networks: discrete-time version

Proceedings of ICNN'95 - International Conference on Neural Networks ◽

10.1109/icnn.1995.488134 ◽

2002 ◽

Author(s):

Liang Jin ◽

M.M. Gupta ◽

P.N. Nikiforuk

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Universal Approximation

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Exponential Lagrange stability for impulses in discrete-time delayed recurrent neural networks

International Journal of Systems Science ◽

10.1080/00207721.2018.1543475 ◽

2018 ◽

Vol 50 (1) ◽

pp. 50-59

Author(s):

Wenlin Jiang ◽

Liangliang Li ◽

Zhengwen Tu ◽

Yuming Feng

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Lagrange Stability

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Improved upper bound on step-size parameters of discrete-time recurrent neural networks for linear inequality and equation system

IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications ◽

10.1109/tcsi.2002.1001961 ◽

2002 ◽

Vol 49 (5) ◽

pp. 695-698 ◽

Author(s):

Xue-Bin Liang ◽

Shiu Kit Tso

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Upper Bound ◽

Recurrent Neural Networks ◽

Linear Inequality ◽

Equation System ◽

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