제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1994년도 Proceedings of the Korea Automatic Control Conference, 9th (KACC) ; Taejeon, Korea; 17-20 Oct. 1994
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- Pages.616-621
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- 1994
Controcller design using parametric neural networks
- HashemiNejad, M. (Dept. of Electrical Engineering, Faculty of Engineering, Kyushu Univ. Japan) ;
- Murata, J. (Dept. of Electrical Engineering, Faculty of Engineering, Kyushu Univ. Japan) ;
- Banihabib, M.E. (Dept. of Electrical Engineering, Faculty of Engineering, Kyushu Univ. Japan)
- 발행 : 1994.10.01
초록
Neural Networks (henceforth NNs, with adjective "artificial" implied) has been used in the field of control however, has a long way to fit to its abilities. One of the best ways to aid it is "supporting it with the knowledge about the linear classical control theory". In this regard we hive developed two kinds of parametric activation function and then used them in both identification and control strategy. Then using a nonlinear tank system we are to test its capabilities. The simulation results for the identification phase is promising. phase is promising.
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