Existence and exponentially stability of anti-periodic solutions for neutral BAM neural networks with time-varying delays in the leakage terms


Authors

Changjin Xu - Guizhou Key Laboratory of Economics System Simulation Guizhou, University of Finance and Economics, Guiyang 550004, China. Peiluan Li - School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang 471023, China.


Abstract

This paper is concerned with the existence and exponential stability of anti-periodic solutions of a neutral BAM neural network with time-varying delays in the leakage terms. Using some analysis skills and Lyapunov method, a series of sufficient conditions for the existence and exponential stability of anti-periodic solutions to the neutral BAM neural networks with time-varying delays in the leakage terms are presented. Our results are new and complement some previously known ones.


Share and Cite

  • Share on Facebook
  • Share on Twitter
  • Share on LinkedIn
ISRP Style

Changjin Xu, Peiluan Li, Existence and exponentially stability of anti-periodic solutions for neutral BAM neural networks with time-varying delays in the leakage terms, Journal of Nonlinear Sciences and Applications, 9 (2016), no. 3, 1285--1305

AMA Style

Xu Changjin, Li Peiluan, Existence and exponentially stability of anti-periodic solutions for neutral BAM neural networks with time-varying delays in the leakage terms. J. Nonlinear Sci. Appl. (2016); 9(3):1285--1305

Chicago/Turabian Style

Xu, Changjin, Li, Peiluan. "Existence and exponentially stability of anti-periodic solutions for neutral BAM neural networks with time-varying delays in the leakage terms." Journal of Nonlinear Sciences and Applications, 9, no. 3 (2016): 1285--1305


Keywords


MSC


References