Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2000.07d
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- Pages.2389-2391
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- 2000
Roubust Design Using Fuzzy Logic Optimozation
퍼지 논리의 최적화에 의한 강인 시스템의 설계
- Kwon, Yang-Won (School of Electrical & Electronics Eng., Wonkwang University) ;
- Lee, Jong-Suk (School of Electrical & Electronics Eng., Wonkwang University) ;
- Ryu, Sang-Mun (School of Electrical & Electronics Eng., Wonkwang University) ;
- Ahn, Tae-Chon (School of Electrical & Electronics Eng., Wonkwang University)
- Published : 2000.07.17
Abstract
To design high quality products at low cost is one of very important tasks for engineers. Design optimization for performances can be one solution in this task. There is the robust design which has been proved effectively in many fields of engineering design. In this paper, the concept of robust design is introduced and combined to the fuzzy optimization method and the fuzzy logic system method with non-singleton. These methods are applied for data analysis to get optimum parameters and to reduce experiments. The optimum parameter set points are obtained by the proposed methods. These methods are applied to a filter circuit, a part of the audio circuit of mobile radio transceiver. The simulation results are compared each other. The new methods reduce and predict the effect of parameter variation sources
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