Exponential stability of delayed fuzzy cellular neural networks with diffusion

Tingwen Huang

Chaos, Solitons & Fractals, 2007, vol. 31, issue 3, 658-664

Abstract: The exponential stability of delayed fuzzy cellular neural networks (FCNN) with diffusion is investigated. Exponential stability, significant for applications of neural networks, is obtained under conditions that are easily verified by a new approach. Earlier results on the exponential stability of FCNN with time-dependent delay, a special case of the model studied in this paper, are improved without using the time-varying term condition: dτ(t)/dt<μ.

Date: 2007
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:31:y:2007:i:3:p:658-664

DOI: 10.1016/j.chaos.2005.10.015

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