[1]
Anping Chen; Jinde Cao; Lihong Huang; Global robust stability of interval cellular neural networks with time-varying delays[J]; Chaos, Solitons and Fractals 23 (2005) 787-799.
DOI: 10.1016/j.chaos.2004.05.029
Google Scholar
[2]
Qiang Zhang; Xiaopeng Wei; Jin Xu; Global exponential convergence analysis of delayed neural networks with time-varying delays[J], Physics Letter A, 318(2003); 537-544.
DOI: 10.1016/j.physleta.2003.09.062
Google Scholar
[3]
Xuemei Li; Lihong Huang; Huiyan Zhu; Global stability of cellular neural networks with constant and variable delays, Nonlinear Analysis, Theory, Methods and Applications, 53 (3-4) (2003): 319-333.
DOI: 10.1016/s0362-546x(02)00176-1
Google Scholar
[4]
Liao xiaoxi, Stability of Reaction-diffusion Generalized Neural Networks Science inChina, Ser. E: 2002, 32(1): 87-94.
Google Scholar
[5]
Qiankun Son; Zhenjiang Zhao; Yongmin Li; Global exponential stability of BAM neural networks with distributed delays and reaction-diffusion terms[J], Physics Letters A 335 (2005) 213-225.
DOI: 10.1016/j.physleta.2004.12.007
Google Scholar
[6]
Xiaoxin Liao; Jia Lin; Stability in Gilpin-ayala competition, model with diffusion, Nonlinear Analysis Theory, Methods & Appl., 20(10)(1997): 1751-1758.
DOI: 10.1016/0362-546x(95)00242-n
Google Scholar
[7]
Berettae; Takouchi Y.; Global asymptotical stability of Lotka-Volterra diffusion with continuous time delays SIAM, J. Appl. Math. 48(1988): 627-651.
DOI: 10.1137/0148035
Google Scholar
[8]
Sanchez E. N.; Perez J. P.; Input-to-state stability (ISS) analysis for dynamic NN, IEEE Trans. On Circuits Systems-I, 46(1999), 1395-1398.
DOI: 10.1109/81.802844
Google Scholar
[9]
Jinling Lin; Jinde Cao; Global exponential stability of reaction-diffusion recurrent neural networks with time-varying delays[J], Physics Letters A, 314(2004): 434-442.
DOI: 10.1016/s0375-9601(03)00945-9
Google Scholar
[10]
Qinghua Zhou, Li Wan, Jianhua Sun, Exponential stability of reaction-diffusion generalized Cohen-Grossberg neural networks with time-varying delays , Chaos, Solitons and Fractals 32 (2007) 1713-1719.
DOI: 10.1016/j.chaos.2005.12.003
Google Scholar
[11]
Boyd, S., Ghaoui, L. EI, Feron, E., & Balarishnan, V., Linear matrix inequalities in system and control theory, Philadephia: SIAM. (1994).
DOI: 10.1137/1.9781611970777
Google Scholar
[12]
Wang Linshan, Xu daoyi; Global Exponentioal Stability of Reaction-diffusion Hopfield Neural Networks with Time-varying Delay. Science in China, Ser. E: , 2003, 33(6): 488~495.
DOI: 10.1360/02yf0146
Google Scholar
[13]
Jinling Lin; Jinde Cao; Global exponential stability of reaction-diffusion recurrent neural networks with time-varying delays[J], Physics Letters A, 314(2004): 434-442.
DOI: 10.1016/s0375-9601(03)00945-9
Google Scholar
[14]
Qiankun Son; Zhenjiang Zhao; Yongmin Li; Global exponential stability of BAM neural networks with distributed delays and reaction-diffusion terms[J], Physics Letters A 335 (2005) 213-225.
DOI: 10.1016/j.physleta.2004.12.007
Google Scholar
[15]
Z. J. Zhao , Q. K. Song, Exponential Periodicity and Stability of Neural Networks with Reaction-Diffusion Terms and Both Variable and Unbounded Delays, Computers and Mathematics with Applications 51 (2006) 475-486.
DOI: 10.1016/j.camwa.2005.10.009
Google Scholar
[16]
Jinde Cao; Deshuang Huang; Yuzhong Qu; Global robust stability of delayed recurrent neural networks[J], Chaos, Solitons and Fractals, 23 (2005) 221-229.
DOI: 10.1016/j.chaos.2004.04.002
Google Scholar
[17]
W. Allegretto , D. Papini , Stability for delayed reaction-diffusion neural networks, Physics Letters A 360 (2007) 669-680.
DOI: 10.1016/j.physleta.2006.08.073
Google Scholar
[18]
Jun Guo Lu, Global exponential stability and periodicity of reaction-diffusion delayed recurrent neural networks with Dirichlet boundary conditions, Chaos, Solitons and Fractals, 35 (2008) 116125.
DOI: 10.1016/j.chaos.2007.05.002
Google Scholar
