Global exponential stability of Cohen–Grossberg neural networks with time-varying delays

Jiang Liu

Chaos, Solitons & Fractals, 2005, vol. 26, issue 3, 935-945

Abstract: The global exponential stability of the equilibrium point of Cohen–Grossberg neural networks with time-varying delays is first investigated. Furthermore, some sufficient conditions for existence and uniqueness of equilibrium and global exponential stability of the time-varying delayed Cohen–Grossberg neural networks are obtained by using the topological degree theory, M-matrix, Lyapunov functional method and some analysis techniques.

Date: 2005
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Citations: View citations in EconPapers (20)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:26:y:2005:i:3:p:935-945

DOI: 10.1016/j.chaos.2005.01.062

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