Nonlinear parameter fuzzy control for uncertain systems with only system output measurement

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, a nonlinear parameter fuzzy control scheme is proposed for a class of uncertain systems without all states measurement. In the control scheme, a fuzzy identifier without prior knowledge on membership functions is merged into direct adaptive control by means of a linear state estimator. Since the structure of the fuzzy identifier is nonlinear in the adjusted parameters, the fuzzy identifier uses a mean method to develop adaptive laws. Finally, an example is provided to demonstrate the effectiveness of the proposed control scheme.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Fuzzy Systems - Proceedings
Pages1216-1220
Number of pages5
DOIs
Publication statusPublished - 2009 Dec 10
Event2009 IEEE International Conference on Fuzzy Systems - Jeju Island, Korea, Republic of
Duration: 2009 Aug 202009 Aug 24

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Other

Other2009 IEEE International Conference on Fuzzy Systems
CountryKorea, Republic of
CityJeju Island
Period09/8/2009/8/24

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Keywords

  • Adaptive control
  • Fuzzy systems
  • Nonlinear systems

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Chen, C. Y., Hong, C-M., & Leu, Y-G. (2009). Nonlinear parameter fuzzy control for uncertain systems with only system output measurement. In 2009 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 1216-1220). [5277075] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2009.5277075