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.1133-1136
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- 1993
FUZZY CONTROLLER WITH MATRIX REPRESENTATION OPTIMIZED BY NEURAL NETWORKS
- Nakatsuyama, Mikio (Department of Electronic Engineering, Yamagata University) ;
- Kaminaga, Hiroaki (Department of Electronic Engineering, Yamagata University) ;
- Song, Bei-Dong (Department of Electronic Engineering, Yamagata University)
- 발행 : 1993.06.01
초록
Fuzzy algorithm is essentially nondeterministic, but to guarantee the stable control the fuzzy control program should be deterministic in practice. Fuzzy controllers with matrix representation is very simple in construction and very fast in computation. The value of the matrix is not adequate at the first place, but can be modified by using the neural networks. We apply the simple heuristic techniques to modify the matrix successfully.
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