Application of implicit self-tuning fuzzy control to nonlinear systems

Kiriakos Kiriakidis, Anthony Tzes

Research output: Contribution to conferencePaper

Abstract

The scope of this paper is to design an implicit self-tuning fuzzy controller suitable for a class of nonlinear systems. The approach of parametric fuzzy modeling is used to decompose the nonlinear input-output mappings of a physical system in a universe of discourse constituted by linear models. The control objective, given in terms of an optimal control policy, is achieved through linear control techniques applied to each one of these model components. A fuzzy controller infers a composite control action based on the control laws designated for the individual linear models. A direct adaptive algorithm is introduced to identify on-line the control parameters. The performance of the self-tuner along with its adaptability against parametric variations is tested in simulation studies for an open-loop unstable nonlinear system.

Original languageEnglish (US)
Pages1419-1426
Number of pages8
StatePublished - 1995
EventProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5) - Yokohama, Jpn
Duration: Mar 20 1995Mar 24 1995

Other

OtherProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5)
CityYokohama, Jpn
Period3/20/953/24/95

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Application of implicit self-tuning fuzzy control to nonlinear systems'. Together they form a unique fingerprint.

Cite this