Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
第27回ISCIE「確率システム理論と応用」国際シンポジウム(1995年10-11月, 別府)
Fuzzy Identification Method of Non-linear Systems Embedded in Noise
O. NakamuraR. ShimamuraK. Akizuki
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ジャーナル フリー

1996 年 1996 巻 p. 71-76

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抄録
Fuzzy identification methods have been successfully applied to systems where nonlinearity is one of the main constraint feature. However noise inference of the fuzzy identification has been discussed in detail in such studies. In this paper we propose an efficient fuzzy identification method which has two strong points. The one is how to reduce the number of implication to construct a better fuzzy model. The other is to remove the noise effects when the systems are embedded in noise. By using this method we demonstrate a better fuzzy modeling result for such systems.
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© 1996 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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