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论文类型：期刊论文

发表时间：2022-06-29

发表刊物：电子学报

所属单位：电子信息与电气工程学部

卷号：46

期号：4

页面范围：1005-1011

ISSN号：0372-2112

摘要：For the modeling issue of non-uniformly multi-rates sampled nonlinear systems,a fuzzy identification method based on hierarchical principle is proposed in the paper.First of all,a nonlinear system is described as a weighted combination representation of the multiple local linear models by using lift technology when the non-uniformly updating scheme for input signals and uniformly sampling scheme for output signals are taken in the data sampling process.On this basis,we propose a fuzzy identification algorithm,in which the GK fuzzy clustering method and a recursive least squared method based on hierarchical principle are used to confirm the premise structure and consequence parameters of fuzzy model,respectively.Moreover,the convergence of the identification algorithm is studied by using martingale theorem.Finally,the effectiveness of the proposed method is demonstrated by a simulation example.

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