Transactions of the Korean Society for Noise and Vibration Engineering (한국소음진동공학회논문집)

The Korean Society for Noise and Vibration Engineering (한국소음진동공학회)
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Model Reduction Using Stochastic Balance Technique

확률론적 발란스 방법을 이용한 제어용 모델의 축소

  • 이동희 (고려대학교 제어계측공학과) ;
  • 박성만 (고려대학교 제어계측공학과) ;
  • 이종복 (고려대학교 제어계측공학과) ;
  • 채교순 (고려대학교 대학원 제어계측공학과) ;
  • 여운경 (고려대학교 대학원 제어계측공학과) ;
  • 허훈 (고려대학교 제어계측공학과)
  • Published : 2007.10.20
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Abstract

Recently, dynamic system has been enlarged and is normally exposed to various types of disturbance. Thus designing controller for these dynamic systems 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(balance model reduction) method is adopted and applied to moment equation in stochastic domain. Reliable reduced order system model has been obtained.

Keywords

References

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