한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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- Pages.1366-1369
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- 1993
Simulation Study on Self-learning Fuzzy Control of CO Concentration
- Tanaka, Kazuo (Department of Mechanical Systems Engineering Kanazawa University) ;
- Sano, Manabu (Department of Mechanical Systems Engineering Kanazawa University) ;
- Watanabe, Hiroyuki (Department of Computer Science The University of North Carolina)
- 발행 : 1993.06.01
초록
This paper presents a simulation study on two self-learning control systems for a fuzzy prediction model of CO (carbon monoxide) concentration:linear control and fuzzy control. The self-learning control systems are realized by using Widrow-Hoff learning rule which is a basic learning method in neural networks. Simulation results show that the learning efficiency of fuzzy controller is superior to that of linear controller.
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