L performance of single and interconnected neural networks with time-varying delay

Choon Ki Ahn, Peng Shi, Ramesh K. Agarwal, Jing Xu

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

This paper is concerned with the L performance analysis problem for time-varying delayed neural networks. First, a condition is proposed for the L performance of single neural networks with time-varying delay and persistent bounded input based on the Wirtinger-type inequality together with the reciprocal convex approach. Then, sufficient conditions are established to ensure the L performance of interconnected neural networks with time-varying delay. Numerical examples are provided to show the effectiveness of the presented results.

Original languageEnglish
Pages (from-to)412-423
Number of pages12
JournalInformation Sciences
Volume346-347
DOIs
Publication statusPublished - 2016 Jun 10

Keywords

  • Feedback interconnection
  • L performance
  • Neural network
  • Time-varying delay

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management

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