Extended dissipative analysis for neural networks with time-varying delays

Tae H. Lee, Myeong Jin Park, Ju H. Park, Oh Min Kwon, Sang Moon Lee

Research output: Contribution to journalArticlepeer-review

175 Scopus citations

Abstract

In this brief, an extended dissipativity analysis was conducted for a neural network with time-varying delays. The concept of the extended dissipativity can be used to solve for the H, L2 - L, passive, and dissipative performance by adjusting the weighting matrices in a new performance index. In addition, the activation function dividing method is modified by introducing a tuning parameter. Examples are provided to show the effectiveness and less conservatism of the proposed method.

Original languageEnglish
Article number6712166
Pages (from-to)1936-1941
Number of pages6
JournalIEEE Transactions on Neural Networks and Learning Systems
Volume25
Issue number10
DOIs
StatePublished - 1 Oct 2014

Keywords

  • Dissipativity
  • neural networks
  • passivity
  • stability

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