Stability analysis of generalised Neural Networks with mixed time-varying delays
by Yuanyuan Wu, Yuqiang Wu, Yonggang Chen
International Journal of Systems, Control and Communications (IJSCC), Vol. 2, No. 4, 2010

Abstract: For a class of Recurrent Neural Networks (RNNs) with mixed discrete and distributed delays, this paper is concerned with the problems of determining the global exponential stability and estimating the exponential convergence rate. By employing Lyapunov-Krasovskii functional approach, novel delay-dependent criteria are derived in term of LMIs, which can guarantee the global exponential stability of concerned systems, meanwhile, the exponential convergence rate can be estimated. Two numerical examples are given to show the effectiveness and improvement of the obtained results.

Online publication date: Thu, 30-Sep-2010

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