Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1890457 | Chaos, Solitons & Fractals | 2007 | 12 Pages |
Abstract
Sufficient conditions are obtained for the existence and global exponential stability of a unique periodic solution of a class of neural networks with impulses by using Mawhin’s continuation theorem of coincidence degree theory and constructing Lyapunov functions. An illustrative example is given to demonstrate the effectiveness of the obtained results.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Zhanji Gui, Weigao Ge,