Simplified stability criteria for fuzzy Markovian jumping Hopfield neural networks of neutral type with interval time-varying delays

M. J. Park, O. M. Kwon, Ju H. Park, S. M. Lee

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

This paper proposes delay-dependent stability conditions of fuzzy Markovian jumping Hopfield neural networks of neutral type with interval time-varying delays. By constructing a suitable Lyapunov-Krasovskii's functional and utilizing Finsler's lemma with no free weighting matrices, new delay-dependent stability criteria for the networks are established in terms of linear matrix inequalities (LMIs) which can be easily solved by various effective optimization algorithms. Numerical examples is given to illustrate the effectiveness of the proposed methods.

Original languageEnglish
Pages (from-to)5625-5633
Number of pages9
JournalExpert Systems with Applications
Volume39
Issue number5
DOIs
StatePublished - Apr 2012

Keywords

  • Fuzzy systems
  • Hopfield neural networks
  • Lyapunov method
  • Markovian jumping parameters
  • Neutral systems

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