L2 - L filtering for time-delayed switched hopfield neural networks

Choon Ki Ahn, Moon Kyou Song

Research output: Contribution to journalArticle

51 Citations (Scopus)

Abstract

This paper investigates the delay-dependent L2 - L filtering problem for time-delayed switched Hopfield neural networks. A new type of L2 - L filter is proposed such that the filtering error system is asymptotically stable with guaranteed L2 - L performance. The criterion is formulated in terms of linear matrix inequalities (LMIs), which can be checked readily by using certain types of standard numerical packages. A numerical example illustrates the effectiveness of the proposed L2 - L filter. ICIC International

Original languageEnglish
Pages (from-to)1831-1843
Number of pages13
JournalInternational Journal of Innovative Computing, Information and Control
Volume7
Issue number4
Publication statusPublished - 2011 Apr

Keywords

  • Hopfield neural networks
  • L - L filtering
  • Linear matrix inequality (LMI)
  • Lyapunov-Krasovskii stability theory
  • Switched systems

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics

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