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《Journal of Circuits and Systems》 2002-01
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Stability of Higher-Order Hopfield Type Neural Networks with Time Delays

XU Bing-ji, LIAO Xiao-xin (Dept. of Control Sci. & Eng., Huazhong University of Science and Technology, Wuhan 430074, China)  
The stability of the equilibrium point for a class of higher-order Hopfield type neural networks with time delays is analyzed using Lyapunov functional method. Razumikhin theorem is employed to derive the sufficient delay-dependent and delay-independent conditions respectively for the global uniform asymptotic stability of the equilibrium point of such neural networks.
【Fund】: 国家自然科学基金(60074008);; 高校博士点基金(20010487005)资助项目
【CateGory Index】: TP183
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1 GUAN Jun-biao (Dept. Math., Zhejiang Normal Univ., Jinhua 321004,Zhejiang,China);Globally exponential stability for a class of cellular neural networks with time-varying delay[J];Journal of Baoji College of Arts and Science(Natural Science Edition);2005-02
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