제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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- Pages.18-23
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- 1993
State estimation based on fuzzy state transition model
- Hanazaki, Izumi (Tokyo Denki University Faculty of Science and Engineering, Department of Systems Engineering) ;
- Saguchi, Shinichi (Tokyo Denki University Faculty of Science and Engineering, Department of Systems Engineering)
- 발행 : 1993.10.01
초록
In this paper, we attempt to estimate the state of a finite state system. In such system, we can observe time series data which has some significant behaviors corresponding to its system states. The behavior is characterized by feature parameters extracted from time series. Our thought is that the system output time series data is expressed as a sequence of behavior patterns which are represented by clusters in feature parameters space. An algorithm jointing fuzzy clustering to fuzzy finite state transition model is suggested.
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