Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1141274 | Mathematics and Computers in Simulation | 2008 | 16 Pages |
Abstract
By using the continuation theorem of coincidence degree theory and constructing suitable Lyapunov functions, we study the existence, uniqueness and global exponential stability of periodic solutions for recurrent neural networks with impulsive perturbations and delays. Further, by using numerical simulation method, the influences of the impulsive perturbations on the inherent oscillations are investigated.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Zhanji Gui, Xiao-Song Yang, Weigao Ge,