Existence and global exponential stability of periodic solution of a class of neural networks with impulses

Yongkun Li, Wenya Xing and Linghong Lu

Chaos, Solitons & Fractals, 2006, vol. 27, issue 2, 437-445

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.

Date: 2006
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Citations: View citations in EconPapers (19)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:27:y:2006:i:2:p:437-445

DOI: 10.1016/j.chaos.2005.04.021

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