Global exponential stability criterion for uncertain discrete-time cellular neural networks

Yeong-Jeu Sun

Chaos, Solitons & Fractals, 2009, vol. 41, issue 4, 2022-2024

Abstract: This paper deals with the robust stability problem for a class of uncertain discrete-time cellular neural networks (UDTCNNs). A simple criterion is derived to guarantee the global exponential stability (GES) of such networks. A simple method is also proposed to calculate the guaranteed exponential decay rate of such networks. Finally, a numerical example is provided to illustrate the main result.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:41:y:2009:i:4:p:2022-2024

DOI: 10.1016/j.chaos.2008.08.006

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