Design of fuzzy controller and parameter optimizer for non-linear system based on operator's knowledge

  • Authors:

  • Hyeon Bae;Sungshin Kim;Yejin Kim

  • Affiliations:

  • School of Electrical and Computer Engineering, Pusan National University, Busan, Korea;School of Electrical and Computer Engineering, Pusan National University, Busan, Korea;Dept. of Environmental Engineering, Pusan National University, Busan, Korea

  • Venue:
  • FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
  • Year:
  • 2005

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Abstract

This article describes a modeling approach based on an operator's knowledge without a mathematical model of the system, and the optimization of the controller. The system used in this experiment could not easily be modeled by mathematical methods and could not easily be controlled by conventional systems. The controller was designed based on input-output data, and optimized under a predefined performance criterion.