Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Adaptive Control Based on Fuzzy-CMAC Neural Networks

Fuzzy-CMAC 신경회로망 기반 적응제어

  • Choi, J.S. (DCS Team, R&D Center, POSCON) ;
  • Kim, H.S. (Dept. of Control & Instrumentation Eng., Chonbuk Nat'l University) ;
  • Kim, S.J. (Dept. of Control & Instrumentation Eng., Chonbuk Nat'l University) ;
  • Kwon, O.S. (Dept. of Control & Instrumentation Eng., Kunsan Nat'l University)
  • 최종수 (포스콘 기술연구소 분산제어팀) ;
  • 김형석 (전북대학교 제어계측공학과) ;
  • 김성중 (전북대학교 제어계측공학과) ;
  • 권오신 (군산대학교 제어계측공학과)
  • Published : 1996.07.22
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Abstract

Neural networks and fuzzy systems have attracted the attention of many researehers recently. In general, neural networks are used to obtain information about systems from input/output observation and learning procedure. On the other hand, fuzzy systems use fuzzy rules to identify or control systems. In this paper we present a generalized FCMAC(Fuzzified Cerebellar Model Articulation Controller) networks, by integrating fuzzy systems with the CMAC(Cerebellar Model Articulation Controller) networks. We propose a direct adaptive controller design based on FCMAC(fuzzified CMAC) networks. Simulation results reveal that the proposed adaptive controller is practically feasible in nonlinear plant control.

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