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Fuzzy controller design based on sampled-data under time-varying sampling

  • Qingdao University

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

Abstract

This paper focuses on the problem of stability analysis and control synthesis for nonlinear systems with variable sampling based on Takagi-Sugeno(T-S) fuzzy model approach. A novel piecewise Lyapunov-Krasovskii functional is constructed for stability analysis and controller design. Based on the feasibility of a set of linear matrix inequalities (LMIs), the sufficient conditions of stabilization via sampled-data feedback are proposed. Numerical example demonstrates the effectiveness of our results.

Original languageEnglish
Title of host publicationProceedings of the 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011
Pages214-216
Number of pages3
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011 - Qingdao, China
Duration: 17 Sep 201119 Sep 2011

Publication series

NameProceedings of the 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011

Conference

Conference2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011
Country/TerritoryChina
CityQingdao
Period17/09/1119/09/11

Keywords

  • Sampled-data feedback
  • Takagi-Sugeno (T-S) fuzzy model
  • linear matrix inequality(LMI)

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