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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.5 No.4
- 발행연도
- 2010.11
- 수록면
- 653 - 665 (13page)
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초록· 키워드
오류제보하기
In this study, we introduce a neurofuzzy approach to the design of fuzzy controllers. The development process exploits key technologies of Computational Intelligence (CI), namely, genetic algorithms (GA) and neurofuzzy networks. The crux of the design methodology deals with the selection and determination of optimal values of the scaling factors of fuzzy controllers, which are essential to the entire optimization process. First, the tuning of the scaling factors of the fuzzy controller is carried out. Next, we form a nonlinear mapping for the scaling factors, which are realized by GA-based neurofuzzy networks by using a fuzzy set or fuzzy relation. The proposed approach is applied to control nonlinear systems like the inverted pendulum. Results of comprehensive numerical studies are presented through a detailed comparative analysis.
목차
Abstract
1. Introduction
2. The Fuzzy Controller
3. Auto-Tuning of the Fuzzy Controller by GA
4. Estimation Algorithm by using GA-based Neurofuzzy Networks
5. Experimental Studies
6. Conclusion
Acknowledgements
References
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UCI(KEPA) : I410-ECN-0101-2012-560-003619998