Passivity of switched hopfield neural networks without online learning

Research output: Contribution to journalArticle

Abstract

As a continuation of our previous published results, in this study, we propose some results on passivity of switched Hopfield neural networks without online learning. First, a new matrix norm based condition for passivity of switched Hopfield neural networks is proposed. Second, a new passivity condition in the form of Linear Matrix Inequality (LMI) for switched Hopfield neural networks is proposed. In contrast to the existing result, the proposed conditions ensure asymptotic stability, but also passivity from the external input vector to the output vector without online learning.

Original languageEnglish
Pages (from-to)641-644
Number of pages4
JournalResearch Journal of Applied Sciences, Engineering and Technology
Volume4
Issue number6
Publication statusPublished - 2012

Keywords

  • Linear matrix inequality (LMI)
  • Passivity
  • Switched hopfield neural networks

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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