제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
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- Pages.558-563
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- 1992
Identification of continuous systems using neural network
- Jin, Chun-Zhi (Dept. of Electrical Engineering, Faculty of Engineering, Kyushu University, Japan) ;
- Wada, Kiyoshi (Dept. of Electrical Engineering, Faculty of Engineering, Kyushu University, Japan) ;
- Sagara, Setsuo (Dept. of Communication and Computing Engineering, Fukuoka Institute of Technology)
- 발행 : 1992.10.01
초록
In this paper an identification of nonlinear continuous systems by using neural network is considered. The nonlinear continuous system is identified by two steps. At first, a linear approximate model of the continuous system with nonlinearity is obtained by IIR filtering approach. Then the modeling error due to the nonlinearity is reduced by a neural network compensator. The teaching signals to train the neural network is gotten by smoothing the measurement data corrupted by noise. An illustrative example is given to demonstrate the effectiveness of the proposed approach.
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