Global Asymptotic Stability Analysis for Neural Networks with Time-Varying Delays

Proceedings of the 45th IEEE Conference on Decision and Control ◽

10.1109/cdc.2006.377396 ◽

2006 ◽

Author(s):

Zhiqiang Zuo ◽

Yijing Wang

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

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Global asymptotic stability analysis for neutral-type complex-valued neural networks with random time-varying delays

International Journal of Systems Science ◽

10.1080/00207721.2019.1623340 ◽

2019 ◽

Vol 50 (9) ◽

pp. 1742-1756 ◽

Author(s):

R. Sriraman ◽

R. Samidurai

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Neutral Type ◽

Random Time ◽

Time Varying ◽

Type Complex ◽

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New results on global asymptotic stability analysis for neural networks with time-varying delays

Nonlinear Analysis Real World Applications ◽

10.1016/j.nonrwa.2007.08.025 ◽

2009 ◽

Vol 10 (1) ◽

pp. 554-562 ◽

Author(s):

Tao Li ◽

Lei Guo ◽

Chong Lin ◽

Changyin Sun

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

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Global asymptotic stability analysis of nonlinear differential equations in hybrid bidirectional associative memory neural networks with distributed time-varying delays

Neurocomputing ◽

10.1016/j.neucom.2008.07.001 ◽

2009 ◽

Vol 72 (7-9) ◽

pp. 1803-1807 ◽

Author(s):

Yongqiang Zhou ◽

Shouming Zhong ◽

Mao Ye ◽

Zhiyuan Shi

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Asymptotic Stability ◽

Differential Equations ◽

Associative Memory ◽

Global Asymptotic Stability ◽

Nonlinear Differential Equations ◽

Time Varying ◽

Bidirectional Associative Memory

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Global Asymptotic Stability Analysis of Neural Networks with Time-Varying Delays

Neural Processing Letters ◽

10.1007/s11063-004-3426-1 ◽

2005 ◽

Vol 21 (1) ◽

pp. 61-71 ◽

Author(s):

Zhang Qiang ◽

Xiaopeng Wei ◽

Jin Xu

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

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Global asymptotic stability analysis for neutral stochastic neural networks with time-varying delays

Communications in Nonlinear Science and Numerical Simulation ◽

10.1016/j.cnsns.2008.04.001 ◽

2009 ◽

Vol 14 (4) ◽

pp. 1576-1581 ◽

Author(s):

Weiwei Su ◽

Yiming Chen

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Stochastic Neural Networks ◽

Time Varying ◽

Neutral Stochastic Neural Networks

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Global asymptotic stability analysis of two-time-scale competitive neural networks with time-varying delays

Neurocomputing ◽

10.1016/j.neucom.2017.07.047 ◽

2018 ◽

Vol 273 ◽

pp. 357-366 ◽

Author(s):

Xiaomin Liu ◽

Chunyu Yang ◽

Linna Zhou

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

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Impulsive effects on Clifford-valued neural networks with time-varying delays: An asymptotic stability analysis

Applied Mathematics and Computation ◽

10.1016/j.amc.2021.126309 ◽

2021 ◽

Vol 407 ◽

pp. 126309

Author(s):

G. Rajchakit ◽

R. Sriraman ◽

P. Vignesh ◽

C.P. Lim

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Asymptotic Stability ◽

Impulsive Effects ◽

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Global Asymptotic Stability of High-Order Delay Hopfield Neural Networks with Time-Varying Coefficients

Zeitschrift für Analysis und ihre Anwendungen ◽

10.4171/zaa/1249 ◽

2005 ◽

pp. 419-429 ◽

Author(s):

PEIGUANG WANG ◽

HAIRONG LIAN ◽

YONGHONG WU

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Hopfield Neural Networks ◽

Time Varying ◽

Varying Coefficients ◽

Time Varying Coefficients

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On global asymptotic stability criteria for cellular neural networks with discrete and distributed time-varying delays

Third International Workshop on Advanced Computational Intelligence ◽

10.1109/iwaci.2010.5585133 ◽

2010 ◽

Author(s):

Bin Huang ◽

Minghui Jiang ◽

Ting Zhang

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

Cellular Neural Networks ◽

Time Varying ◽

Stability Criteria

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A general framework for global asymptotic stability analysis of delayed neural networks based on LMI approach

Chaos Solitons & Fractals ◽

10.1016/j.chaos.2004.09.063 ◽

2005 ◽

Vol 24 (5) ◽

pp. 1317-1329 ◽

Author(s):

Jinde Cao ◽

Daniel W.C. Ho

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Asymptotic Stability ◽

Global Asymptotic Stability ◽

General Framework ◽

Lmi Approach ◽

Delayed Neural Networks

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