Fold-flip bifurcation analysis on a class of discrete-time neural network

摘要：

　　This paper reports fold-flip bifurcation on a class of discrete-time neural network.Sufficient conditions are given to demonstrate fold-flip bifurcation.By performing linear and nonlinear transformation, the normal form and versal unfolding are derived to obtain the bifurcation diagrams of the truncated normal form such as fold bifurcation, flip bifurcation, and the Neimark-Sacker bifurcation of the period-2 cycle.Some numerical simulations are given to support the analytic results.

关键词： Fold-flip bifurcation Neimark-Sacker bifurcation Neural network

作者: Xing He Chuandong Li Yonglu Shu

会议类型: 国内会议

会议名称: 西南大学2014年全国博士生学术论坛(电子技术与信息科学领域)

会议地点: 重庆

会议语种:英文

页码: 297-303

在线出版日期: 2014-12-01（万方平台首次上网日期，不代表论文的发表时间）