Article ID Journal Published Year Pages File Type
10734396 Chaos, Solitons & Fractals 2005 7 Pages PDF
Abstract
The global exponential stability of cellular neural networks (CNNs) with time-varying delays is analyzed. Two new sufficient conditions ensuring global exponential stability for delayed CNNs are obtained. The conditions presented here are related to the size of delay. The stability results improve the earlier publications. Two examples are given to demonstrate the effectiveness of the obtained results.
Related Topics
Physical Sciences and Engineering Physics and Astronomy Statistical and Nonlinear Physics
Preview
Delay-dependent exponential stability of cellular neural networks with time-varying delays
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