전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

  • 제67권2호
  • /
  • Pages.248-254
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  • 2018
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  • 1975-8359(pISSN)
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  • 2287-4364(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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몬테카를로 기반 재귀최소자승법에 의한 시스템 인식 실험 연구

Experimental Study on a Monte Carlo-based Recursive Least Square Method for System Identification

  • Lee, Sang-Deok (Dept. of Mechatronics Engineering, Chungnam National University) ;
  • Jung, Seul (Dept. of Mechatronics Engineering, Chungnam National University)
  • 투고 : 2017.06.19
  • 심사 : 2018.01.23
  • 발행 : 2018.02.01
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초록

In this paper, a Monte Carlo-based Recursive Least Square(MC-RLS) method is presented to directly identify the inverse model of the dynamical system. Although a RLS method has been used for the identification based on the deterministic data in the closed loop controlled form, it would be better for RLS to identify the model with random data. In addition, the inverse model obtained by inverting the identified forward model may not work properly. Therefore, MC-RLS can be used for the inverse model identification without proceeding a numerical inversion of an identified forward model. The performance of the proposed method is verified through experimental studies on a control moment gyroscope.

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참고문헌

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