• 제목/요약/키워드: 발란스 모델 축소

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Model Reduction Using Stochastic Balance Technique (확률론적 발란스 방법을 이용한 제어용 모델의 축소)

  • Lee, Dong-Hee;Park, Sung-Man;Lee, Jong-Bok;Chae, Kyo-Soon;Yeo, Un-Kyung;Heo, Hoon
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.17 no.10
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    • pp.912-917
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    • 2007
  • 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.

Model Reduction using Stochastical Balance Technique (확률론적 Balance 방법을 이용한 제어용 모델의 축소)

  • Lee, Dong-Hee;Kwon, Dong-Chul;Yeo, Un-Kyung;Park, Sung-Man;Chae, Kyo-Soon;Heo, Hoon
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.05a
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    • pp.988-992
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    • 2007
  • 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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