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基于目标函数的矩阵分解非线性系统模糊建模

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Indexed by:期刊论文

Date of Publication:2022-06-29

Journal:大连理工大学学报

Affiliation of Author(s):电子信息与电气工程学部

Issue:4

Page Number:567-571

ISSN No.:1000-8608

Abstract:The modeling method is proposed by fuzzy clustering based on an objective function. The improved fuzzy clustering can blend the integral body with the structure identification and parameter identification of fuzzy model. First, the input space of fuzzy model, rules and parameters are confirmed by minimizing the new objective function. Then fuzzy inference matrix confirmed by using the proposed fuzzy clustering is decomposed by using matrix decomposition of QR. According to the analyses of the rank loss of matrix, the important cluster is confirmed. To demonstrate the performance of this modeling method, simulation example in a non-linear system is studied. The results show that the proposed method provides effective and accurate fuzzy modeling method.

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