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Design on fuzzy control for a class of stochastic nonlinear systems

  • Xiaojie Su
  • , Peng Shi
  • , Ligang Wu
  • , Hamid Reza Karimi
  • Chongqing University
  • University of Adelaide
  • Victoria University
  • University of Agder

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

Abstract

The problem of Hankel-norm output feedback control is solved for a class of T-S fuzzy stochastic systems. The dynamic output feedback controller design technique is proposed by employing fuzzy-basis-dependent Lyapunov function approach and the conversion on the Hankel-norm controller parameters. Sufficient conditions are established to design the controllers such that the resulting closed-loop system is stochastically stable and satisfies a prescribed performance. The desired output feedback controller can be obtained by solving a convex optimization problem, which can be efficiently solved by standard numerical algorithms.

Original languageEnglish
Title of host publication2014 American Control Conference, ACC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages544-547
Number of pages4
ISBN (Print)9781479932726
DOIs
StatePublished - 2014
Event2014 American Control Conference, ACC 2014 - Portland, OR, United States
Duration: 4 Jun 20146 Jun 2014

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2014 American Control Conference, ACC 2014
Country/TerritoryUnited States
CityPortland, OR
Period4/06/146/06/14

Keywords

  • Fuzzy systems
  • LMIs
  • Stochastic systems

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