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Original Articles

Dynamical analysis of uncertain neural networks with multiple time delays

Pages 730-739 | Received 05 Jul 2013, Accepted 12 Sep 2013, Published online: 15 Apr 2014

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Yongbao Wu, Wenxue Li & Jiqiang Feng. (2017) Stabilisation of stochastic coupled systems via feedback control based on discrete-time state observations. International Journal of Systems Science 48:13, pages 2850-2859.
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Articles from other publishers (20)

Nallappan Gunasekaran, N. Mohamed Thoiyab, Quanxin Zhu, Jinde Cao & P. Muruganantham. (2022) New Global Asymptotic Robust Stability of Dynamical Delayed Neural Networks via Intervalized Interconnection Matrices. IEEE Transactions on Cybernetics 52:11, pages 11794-11804.
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Zohreh Eskandari, Javad Alidousti, Zakieh Avazzadeh & Reza Koshsiar Ghaziani. (2022) Dynamics and bifurcations of a discrete time neural network with self connection. European Journal of Control 66, pages 100642.
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Muhammet Mert Ketencigil, Ozlem Faydasicok & Sabri Arik. (2022) Novel criteria for robust stability of Cohen-Grossberg neural networks with multiple time delays. Discrete and Continuous Dynamical Systems - S 15:11, pages 3189.
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N. Mohamed Thoiyab, P. Muruganantham, Quanxin Zhu & Nallappan Gunasekaran. (2021) Novel results on global stability analysis for multiple time-delayed BAM neural networks under parameter uncertainties. Chaos, Solitons & Fractals 152, pages 111441.
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Le Van Hien. 2021. Recent Advances in Control Problems of Dynamical Systems and Networks. Recent Advances in Control Problems of Dynamical Systems and Networks 337 385 .
N. Mohamed Thoiyab, P. Muruganantham, Grienggrai Rajchakit, Nallappan Gunasekaran, Bundit Unyong, Usa Humphries, Pramet Kaewmesri & Chee Peng Lim. (2020) Global Stability Analysis of Neural Networks with Constant Time Delay via Frobenius Norm. Mathematical Problems in Engineering 2020, pages 1-14.
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Xingxing You, Qiankun Song & Zhenjiang Zhao. (2020) Existence and finite-time stability of discrete fractional-order complex-valued neural networks with time delays. Neural Networks 123, pages 248-260.
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Xingxing You, Qiankun Song & Zhenjiang Zhao. (2020) Global Mittag-Leffler stability and synchronization of discrete-time fractional-order complex-valued neural networks with time delay. Neural Networks 122, pages 382-394.
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Nallappan Gunasekaran, N. Mohamed Thoiyab, P. Muruganantham, Grienggrai Rajchakit & Bundit Unyong. (2020) Novel Results on Global Robust Stability Analysis for Dynamical Delayed Neural Networks Under Parameter Uncertainties. IEEE Access 8, pages 178108-178116.
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Le Van Hien & Le Dao Hai-An. (2018) Positive solutions and exponential stability of positive equilibrium of inertial neural networks with multiple time-varying delays. Neural Computing and Applications 31:11, pages 6933-6943.
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Tengda Wei, Ping Lin, Yangfan Wang & Linshan Wang. (2019) Stability of stochastic impulsive reaction–diffusion neural networks with S-type distributed delays and its application to image encryption. Neural Networks 116, pages 35-45.
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Zhen Wang, Li Li, Yuxia Li & Zunshui Cheng. (2018) Stability and Hopf Bifurcation of a Three-Neuron Network with Multiple Discrete and Distributed Delays. Neural Processing Letters 48:3, pages 1481-1502.
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Li Li, Zhen Wang, Yuxia Li, Hao Shen & Junwei Lu. (2018) Hopf bifurcation analysis of a complex-valued neural network model with discrete and distributed delays. Applied Mathematics and Computation 330, pages 152-169.
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K. Subramanian, P. Muthukumar & S. Lakshmanan. (2018) State feedback synchronization control of impulsive neural networks with mixed delays and linear fractional uncertainties. Applied Mathematics and Computation 321, pages 267-281.
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Mingwen Zheng, Lixiang Li, Haipeng Peng, Jinghua Xiao, Yixian Yang, Yanping Zhang & Hui Zhao. (2018) Globally fixed-time synchronization of coupled neutral-type neural network with mixed time-varying delays. PLOS ONE 13:1, pages e0191473.
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Li Li, Zhen Wang, Xia Huang & Yuxia Li. (2017) Stability analysis of a complex-valued neural network with both discrete and distributed delays. Stability analysis of a complex-valued neural network with both discrete and distributed delays.
Kun Yang, Yong Gao, Ping Song & Zhang Xin. (2017) Wearing condition trend prediction of turbine machine based on multi-parameter joint monitoring of turbine oil. Wearing condition trend prediction of turbine machine based on multi-parameter joint monitoring of turbine oil.
Nan Hou, Hongli Dong, Zidong Wang, Weijian Ren & Fuad E. Alsaadi. (2017) state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through Fading channels . Neural Networks 89, pages 61-73.
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Youming Xin, Yuxia Li, Zunshui Cheng & Xia Huang. (2016) Global exponential stability for switched memristive neural networks with time-varying delays. Neural Networks 80, pages 34-42.
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G. Velmurugan, R. Rakkiyappan & Jinde Cao. (2015) Further analysis of global <mml:math altimg="si15.gif" display="inline" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd" xmlns:sa="http://www.elsevier.com/xml/common/struct-aff/dtd"><mml:mi>μ</mml:mi></mml:math>-stability of complex-valued neural networks with unbounded time-varying delays. Neural Networks 67, pages 14-27.
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