Stochastic System Reduction and Control via Component Cost Analysis

구성요소치 해석을 이용한 확률계의 축소와 제어

  • Chae, Kyo-Soon (Grad. Stud. Dept. of Control & Instrumentation Eng.) ;
  • Lee, Dong-Hee (Grad. Stud. Dept. of Control & Instrumentation Eng.) ;
  • Park, Sung-Man (Grad. Stud. Dept. of Control & Instrumentation Eng.) ;
  • Yeo, Un-Kyung (Grad. Stud. Dept. of Control & Instrumentation Eng.) ;
  • Cho, Yun-Hyun (Grad. Stud. Dept. of Control & Instrumentation Eng.) ;
  • Heo, Hoon (Dept. of Control & Instrumentation Eng.)
  • 채교순 (고려대학교 제어계측공학과 대학원) ;
  • 이동희 (고려대학교 제어계측공학과 대학원) ;
  • 박성만 (고려대학교 제어계측공학과 대학원) ;
  • 여운경 (고려대학교 제어계측공학과 대학원) ;
  • 조윤현 (고려대학교 제어계측공학과 대학원) ;
  • 허훈 (고려대학교 제어계측공학과)
  • Published : 2007.05.30

Abstract

A dynamic system under random disturbance is considered in the study. In order to control the system efficiently, proper reduction of system dimension is indispensible in design stage. The reduction method using component cost analysis in conjunction with stochastic analysis is proposed for the control of a system. System response is obtained in terms of dynamic moment equation via Fokker-Plank-Kolmogorov(F-P-K) equation. The dynamic moment response of the system under random disturbance are reduced by using of deterministic version of component cost analysis. The reduced system via proposed "stochastic component cost analysis" is successfully implemented for dynamic response and shows remarkable control performance effectively utilizing "stochastic controller" in physical time domain.

Keywords