Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Evaluation of the Performance and Reliability of a Real-Time System Using Fuzzy-Random Variables

퍼지-랜덤 변수를 이용한 실시간 제어 시스템의 성능 및 신뢰도 평가기법 연구

  • 민병조 (연세대학교 전기ㆍ컴퓨터공학과) ;
  • 이석주 (KIST 지능제어연구센터) ;
  • 김학배 (연세대학교 전기ㆍ컴퓨터공학과)
  • Published : 2000.06.01
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Abstract

To flexibly evaluate performance and reliability of a real-time system which is intrinsically characterized by stringent timing constraints to generate correct responses, we propose fuzzyrandom variables and build a discrete event model embedded with fuzzy-random variables. Also, we adapt fuzzy-variables to a path-space approach, which derives the upper and lower bounds of reliability by using a semi-Markov model that explicitly contains the deadline information. Consequently, we propose certain formulas of state automata properly transformed by fuzzy-random variables, and present numerical examples applying the formulas to RTP(Rapid Thermal Process) to show that a complex system can be properly evaluated based on this model by computer simulation.

Keywords

References

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