Summary: 950 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 18, NO. 3, MAY 2007
[7] X. Liao and J. Wang, "Algebraic criteria for global exponential stability
of cellular neural networks with multiple time delays," IEEE Trans.
Circuits Syst. I, Fundam. Theory Appl., vol. 50, no. 2, pp. 268­275,
Feb. 2003.
[8] X. Liao, J. Wang, and Z. Zeng, "Global Asymptotic stability and global
exponential stability of delayed cellular neural networks," IEEE Trans.
Circuits Syste. II, Exp. Briefs, vol. 52, no. 7, pp. 403­409, Jul. 2005.
[9] V. Singh, "A generalized LMI-based approach to the global asymp-
totic stability of delayed cellular neural networks," IEEE Trans. Neural
Netw., vol. 15, no. 1, pp. 223­225, Jan. 2004.
[10] ----, "Global asymptotic stability of neural networks with delay: com-
parative evaluation of two criteria," Chaos Solitons Fractals, vol. 31,
pp. 1187­1190, 2007.
[11] Z. Zeng, J. Wang, and X. Liao, "Global exponential stability of a gen-
eral class of recurrent neural networks with time-varying delays," IEEE
Trans. Circuits Syst. I, Fundam. Theory Appl., vol. 50, no. 10, pp.
1353­1358, Oct. 2003.
[12] J. Zhang, "Absolutely exponential stability in delayed cellular neural
networks," Int. J. Circuit Theory Appl., vol. 30, no. 3, pp. 395­409,

Source: Abu-Mostafa, Yaser S. - Department of Mechanical Engineering & Computer Science Department, California Institute of Technology

Collections: Computer Technologies and Information Sciences