Robust stability analysis for uncertain delayed neural networks with Markoian jump parameters

Zhiwei Lin*, Jun Kan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper investigates the robust stability of uncertain neural networks with time-varying delays and Markoian Jump parameters. The norm-bounded uncertainties are included in the system matrices. The constraint on time-varying delays is removed, which means that a fast time-varying delay is admissible. Some new delay-dependent stability criterions are presented by using Lyapunov-Krasovskii function and linear matrix inequalities (LMIs) approach. Finally, a numerical example is given to illustrate the effectiveness and less conservativeness of the developed techniques.

Original languageEnglish
Title of host publicationProceedings - International Conference on Networks Security, Wireless Communications and Trusted Computing, NSWCTC 2009
Pages809-813
Number of pages5
DOIs
Publication statusPublished - 2009
EventInternational Conference on Networks Security, Wireless Communications and Trusted Computing, NSWCTC 2009 - Wuhan, Hubei, China
Duration: 25 Apr 200926 Apr 2009

Publication series

NameProceedings - International Conference on Networks Security, Wireless Communications and Trusted Computing, NSWCTC 2009
Volume2

Conference

ConferenceInternational Conference on Networks Security, Wireless Communications and Trusted Computing, NSWCTC 2009
Country/TerritoryChina
CityWuhan, Hubei
Period25/04/0926/04/09

Keywords

  • Jump parameters
  • Neural networks
  • Parameters uncertainties
  • Robust stability

Fingerprint

Dive into the research topics of 'Robust stability analysis for uncertain delayed neural networks with Markoian jump parameters'. Together they form a unique fingerprint.

Cite this