Delay-range-dependent global robust passivity analysis of discrete-time uncertain recurrent neural networks with interval time-varying delay

Chien Yu Lu, Chin Wen Liao, Hsun Heng Tsai

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This paper examines a passivity analysis for a class of discrete-time recurrent neural networks (DRNNs) with norm-bounded time-varying parameter uncertainties and interval time-varying delay. The activation functions are assumed to be globally Lipschitz continuous. Based on an appropriate type of Lyapunov functional, sufficient passivity conditions for the DRNNs are derived in terms of a family of linear matrix inequalities (LMIs). Two numerical examples are given to illustrate the effectiveness and applicability.

Original languageEnglish
Article number430158
JournalDiscrete Dynamics in Nature and Society
Volume2009
DOIs
Publication statusPublished - 2009

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation

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