Information Technology Journal1812-56381812-5646Asian Network for Scientific Information10.3923/itj.2014.2356.2362GuoChengqing GaoYang 1220141314In this study, a class of coupled memristive neural networks of neutral-type
with stochastic perturbations via., pinning adaptive control in order to achieve
synchronization is studied. The analysis in this study employs the differential
inclusions theory, linear matrix inequalities and the lyapunov functional method
and some criteria are obtained to guarantee coupled memristive neural networks
of neutral-type with stochastic perturbations can achieve synchronization. Furthermore,
numerical examples are given to show the effectiveness of our results.]]>Chua, L.O.,197118507519Strukov, D.B., G.S. Snider, D.R. Stewart and R.S. Williams,20084538083Wu, A. and Z. Zeng,20122319191929Wang, W., L. Li, H. Peng, J. Xiao and Y. Yang,201453814Li, X. and J. Cao,2008345779791Li, X., C. Ding and Q. Zhu,201034712661280Wang, W., L. Li, H. Peng, J. Xiao and Y. Yang,20132013Jin, X.Z. and G.H. Yang,201318316326Yang, X. and J. Cao,20102010Park, J.H., O.M. Kwon and S.M. Lee,2008196236244Samli, R. and S. Arik,2009210564570Forti, M. and P. Nistri,20035014211435