Improved robust stability criterion for uncertain cellular neural networks with time-varying delay

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Abstract

In this paper, we propose a new robust stability analysis method for uncertain cellular neural networks with time-varying delay. The proposed stability criterion is based on the Lyapunov function with sector bounded nonlinear function. The sufficient condition for the stability is derived in terms of LMI (linear matrix inequality). Numerical examples show the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)503-511
Number of pages9
JournalModern Physics Letters B
Volume24
Issue number4-5
DOIs
StatePublished - 20 Feb 2010

Keywords

  • Linear matrix inequality
  • Neural networks
  • Stability
  • Time-delay

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