Article ID Journal Published Year Pages File Type
10734289 Chaos, Solitons & Fractals 2005 7 Pages PDF
Abstract
The problem of the global robust exponential stability of interval neural networks with the time-varying delays is investigated. New stability criteria for such problem are derived by an approach combining the Lyapunov-Krasovskii functional with the linear matrix inequality. The effectiveness of the present results is demonstrated by two numerical examples.
Related Topics
Physical Sciences and Engineering Physics and Astronomy Statistical and Nonlinear Physics
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Global robust exponential stability analysis for interval neural networks with time-varying delays
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