Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Indirect Adaptive Control Based on Self-Organized Distributed Network(SODN)

자율분산 신경회로망을 이용한 간접 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

The objective of this paper is to control a nonlinear dynamical systems based on Self-Organized Distributed Networks (SODN). The learning with the SODN is fast and precise. Such properties are caused from the local learning mechanism Each local network learns only data in a subregion. Methods for indirect adaptive control of nonlinear systems using the SODN is presented. Through extensive simulation, the SODN is shown to be effective for adaptive control of nonlinear dynamic systems.

Keywords