Unknown Input Method Based Observer Synthesis and Actuator Fault Estimation for Polynomial T-S Fuzzy Systems

Van Phong Vu, Wen June Wang

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

1 Scopus citations

Abstract

This paper focuses on estimating the unmeasurable states and unknown actuator fault of Polynomial Takagi-Sugeno (T-S) fuzzy system. A new approach based on the unknown input method for observer synthesis is proposed in which the unmeasurable states and the actuator faults are asymptotically estimated, simultaneously. The proposed method allows eliminating completely the effects of faults during the observer synthesis. On the basis of Lyapunov theory, the conditions for designing observer which are expressed in term of the Sum-Of Square (SOS) framework are derived. Finally, a numerical example is presented to prove the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings 2018 4th International Conference on Green Technology and Sustainable Development, GTSD 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages646-651
Number of pages6
ISBN (Electronic)9781538651261
DOIs
StatePublished - 28 Dec 2018
Event4th International Conference on Green Technology and Sustainable Development, GTSD 2018 - Ho Chi Minh City, Viet Nam
Duration: 23 Nov 201824 Nov 2018

Publication series

NameProceedings 2018 4th International Conference on Green Technology and Sustainable Development, GTSD 2018

Conference

Conference4th International Conference on Green Technology and Sustainable Development, GTSD 2018
Country/TerritoryViet Nam
CityHo Chi Minh City
Period23/11/1824/11/18

Keywords

  • fault estimation
  • observer synthesis
  • Polynomial T-S fuzzy system
  • SOS
  • unknown input methods

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