Sampled-Data H fuzzy observer for uncertain oscillating systems with immeasurable premise variables

Ho Jun Kim, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


This paper proposes a sampled-data H fuzzy observer technique for nonlinear uncertain oscillating systems that are represented by the Takagi-Sugeno fuzzy model. The observers are designed for two cases: a measurable premise variable and an immeasurable premise variable. The error system between the nonlinear uncertain system and the sampled-data observer is constructed. The H performance function for the oscillating system is defined and is guaranteed in the Lyapunov sense. Sufficient conditions for the H sampled-data fuzzy observer are given in terms of linear matrix inequalities. Finally, the feasibility of the proposed technique is shown using two simulation examples.

Original languageEnglish
Article number8488690
Pages (from-to)58075-58085
Number of pages11
JournalIEEE Access
Publication statusPublished - 2018

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)


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