Article ID Journal Published Year Pages File Type
1891299 Chaos, Solitons & Fractals 2006 9 Pages PDF
Abstract
Sufficient conditions are obtained for the existence and global exponential stability of a unique periodic solution of a class of neural networks with variable and unbounded delays and impulses by using Mawhin's continuation theorem of coincidence degree theory and by constructing Lyapunov functions.
Related Topics
Physical Sciences and Engineering Physics and Astronomy Statistical and Nonlinear Physics
Preview
Existence and global exponential stability of periodic solution of a class of neural networks with impulses
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