Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Suspension System Identification using Fast Neural Networks

빠른 신경망을 이용한 실시간 현가시스템 인식

  • Song, Kwang-Hyun (Dept of Control & Instrumentation, Chonbuk National Univ.) ;
  • Seul, Nam-O (Dept of Control & Instrumentation, Chonbuk National Univ.) ;
  • Lee, Chang-Goo (Dept of Control & Instrumentation, Chonbuk National Univ.) ;
  • Kim, Sung-Joong (Dept of Control & Instrumentation, Chonbuk National Univ.)
  • 송광현 (전북대학교 전기공학과) ;
  • 설남오 (전북대학교 전기공학과) ;
  • 이창구 (전북대학교 전기.전자.제어 공학부) ;
  • 김성중 (전북대학교 전기.전자.제어 공학부)
  • Published : 1997.07.21
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Abstract

In this paper, we identified the Black-box system with serious nonlinerity and fast dynamics using Neural Network. This NN have new structure and learned by RLS. It identify system in real-time without priori data. We use this NN to 7-DOF vehicle identification.

Keywords