Model Reduction using Stochastical Balance Technique

확률론적 Balance 방법을 이용한 제어용 모델의 축소

  • 이동희 (고려대학교 대학원 제어계측공학과) ;
  • 권동철 (고려대학교 대학원 제어계측공학과) ;
  • 여운경 (고려대학교 대학원 제어계측공학과) ;
  • 박성만 (고려대학교 대학원 제어계측공학과) ;
  • 채교순 (고려대학교 대학원 제어계측공학과) ;
  • 허훈 (고려대학교 제어계측공학과)
  • Published : 2007.05.10

Abstract

Recently, dynamic system has been enlarged and is exposed to various types of disturbance. Thus designing controller for those dynamic system under random disturbance is not practically easy. As a result, the exact analysis for the system which is exposed to various irregular disturbance is quite important. In order to perform analysis, conventional BMR(Balanced Model Reduction) method is applied to moment equation in stochastic domain and reliable reduced order system model has been obtained.

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