Novel global exponential stability criterion for recurrent neural networks with time-varying delay (Q1949479)
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scientific article; zbMATH DE number 6161348
| Language | Label | Description | Also known as |
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| English | Novel global exponential stability criterion for recurrent neural networks with time-varying delay |
scientific article; zbMATH DE number 6161348 |
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Novel global exponential stability criterion for recurrent neural networks with time-varying delay (English)
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8 May 2013
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Summary: The problem of global exponential stability for recurrent neural networks with time-varying delay is investigated. By dividing the time delay interval \([0, \tau(t)]\) into \(K + 1\) dynamical subintervals, a new Lyapunov-Krasovskii functional is introduced; then, a novel linear-matrix-inequality (LMI-) based delay-dependent exponential stability criterion is derived, which is less conservative than in the some previous literature. An illustrate example is finally provided to show the effectiveness and the advantage of the proposed result.
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