Decoupled adaptive type-2 fuzzy controller (DAT2FC) design for nonlinear TORA systems

Ching Hung Lee*, Hung Yi Pan, Hua Hsiang Chang, Bor Hang Wang

*Corresponding author for this work

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

9 Scopus citations

Abstract

Based on the concepts of feedback linearization and backstepping approaches, this paper proposes a decoupled adaptive type-2 fuzzy controller (DAT2FC) scheme to treat the stabilization of nonlinear benchmark problem- TORA system. Firstly, partial feedback linearization was employed to simplify the nonlinear system to a simpler form. Therefore, the transformed system can be decoupled into two subsystems by the concept of backstepping. Two type-2 fuzzy controllers corresponding to the sub-systems are designed to follow the desired output. The corresponding adaptive laws are derived by the backpropagation learning algorithm. Therefore, the stabilizing controller can be obtained for the whole system. Finally, simulation and comparison results are shown to demonstrate the effectiveness of DAT2FC scheme.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Fuzzy Systems
Pages506-512
Number of pages7
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Fuzzy Systems - Vancouver, BC, Canada
Duration: 16 Jul 200621 Jul 2006

Publication series

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

Conference

Conference2006 IEEE International Conference on Fuzzy Systems
CountryCanada
CityVancouver, BC
Period16/07/0621/07/06

Keywords

  • Adaptive control
  • Decouple
  • Nonlinear control
  • Type-2 fuzzy control

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    Lee, C. H., Pan, H. Y., Chang, H. H., & Wang, B. H. (2006). Decoupled adaptive type-2 fuzzy controller (DAT2FC) design for nonlinear TORA systems. In 2006 IEEE International Conference on Fuzzy Systems (pp. 506-512). [1681759] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2006.1681759