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Robust stability of cellular neural networks with uncertainties and multiple delays: An LMI approach

  • C. C. Gao*
  • , Y. G. Kao
  • , D. K. Wang
  • *Corresponding author for this work
  • Ocean University of China

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

Abstract

This paper deals with the robust stability of a class of cellular neural networks (CNNs) with norm-bounded uncertainties and multiple state delays. Applying Lyapunov function method and the Properties of the linear matrix inequality, a criterion for the global asymptotic stability and uniqueness of the equilibrium point of uncertain cellular neural networks with multiple delays is presented. The criterion is computationally efficient, since it depends on the solution of a linear matrix inequality.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Control and Automation, ICCA'05
Pages1199-1202
Number of pages4
StatePublished - 2005
Externally publishedYes
Event5th International Conference on Control and Automation, ICCA'05 - Budapest, Hungary
Duration: 27 Jun 200529 Jun 2005

Publication series

NameProceedings of the 5th International Conference on Control and Automation, ICCA'05

Conference

Conference5th International Conference on Control and Automation, ICCA'05
Country/TerritoryHungary
CityBudapest
Period27/06/0529/06/05

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