Global robust exponential stability analysis for interval neural networks with time-varying delays
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[1] N. Pullman. Matrix theory and its applications , 1976 .
[2] J. Hale. Theory of Functional Differential Equations , 1977 .
[3] John J. Hopfield,et al. Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit , 1986 .
[4] R. Westervelt,et al. Stability of analog neural networks with delay. , 1989, Physical review. A, General physics.
[5] Stephen P. Boyd,et al. Linear Matrix Inequalities in Systems and Control Theory , 1994 .
[6] Amir F. Atiya,et al. How delays affect neural dynamics and learning , 1994, IEEE Trans. Neural Networks.
[7] K. Gopalsamy,et al. Stability in asymmetric Hopfield nets with transmission delays , 1994 .
[8] A. Tesi,et al. New conditions for global stability of neural networks with application to linear and quadratic programming problems , 1995 .
[9] Q. Henry Wu,et al. A note on stability of analog neural networks with time delays , 1996, IEEE Trans. Neural Networks.
[10] Pauline van den Driessche,et al. Global Attractivity in Delayed Hopfield Neural Network Models , 1998, SIAM J. Appl. Math..
[11] Juebang Yu,et al. Qualitative analysis of Bi‐directional Associative Memory with time delay , 1998 .
[12] E. Yaz. Linear Matrix Inequalities In System And Control Theory , 1998, Proceedings of the IEEE.
[13] Xiaofeng Liao,et al. Robust stability for interval Hopfield neural networks with time delay , 1998, IEEE Trans. Neural Networks.
[14] S. Arik,et al. Equilibrium analysis of delayed CNNs , 1998 .
[15] E. Sánchez,et al. Input-to-state stability (ISS) analysis for dynamic neural networks , 1999 .
[16] Shu-Cherng Fang,et al. Neurocomputing with time delay analysis for solving convex quadratic programming problems , 2000, IEEE Trans. Neural Networks Learn. Syst..
[17] Guanrong Chen,et al. Novel robust stability criteria for interval-delayed Hopfield neural networks , 2001 .
[18] Kwok-Wo Wong,et al. Novel stability conditions for Cellular Neural Networks with Time Delay , 2001, Int. J. Bifurc. Chaos.
[19] S. Arik. Global robust stability of delayed neural networks , 2003 .
[20] Jinde Cao,et al. Global and Robust Stability of Interval Hopfield Neural Networks with Time-Varying Delays , 2003, Int. J. Neural Syst..