Formalization of a novel sugeno type adaptive fuzzy sliding mode controller for a class of nonlinear systems

I. B. Kucukdemiral, G. Cansever

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

Abstract

Formalization of a novel robust adaptive Sugeno based fuzzy sliding mode controller equipped with a supervisory controller is considered for the control of a class of nonlinear systems which significantly reduce computation via reducing the size of fuzzy rule base. Besides, all the system parameters such as control and state signals can be confined in a predefined bounded region by use of proposed control method. The proposed method does not need any information of the controlled plant and expertise.
Original languageEnglish
Title of host publicationIEEE International Conference on Mechatronics
PublisherIEEE
Pages717-720
Number of pages4
ISBN (Electronic)0-7803-8999-9
ISBN (Print)0-7803-8998-0
DOIs
Publication statusPublished - 14 Jul 2005

Keywords

  • adaptive control
  • fuzzy control
  • nonlinear control systems
  • robust control
  • variable structure systems
  • Sugeno type adaptive fuzzy sliding mode controller
  • nonlinear systems
  • supervisory controller
  • fuzzy rule base
  • Programmable control
  • Adaptive control
  • Fuzzy control
  • Fuzzy systems
  • Nonlinear control systems
  • Sliding mode control
  • Control systems
  • Nonlinear systems
  • Size control
  • Robust control

Fingerprint Dive into the research topics of 'Formalization of a novel sugeno type adaptive fuzzy sliding mode controller for a class of nonlinear systems'. Together they form a unique fingerprint.

  • Cite this