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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:2

Page Number:282-286

ISSN No.:1000-8608

Abstract:The modeling method is proposed to build the model of nonlinear system by the modified Gram-Schmidt method. An integrated algorithm is used to confirm the structure and the parameters of the model by means of the modified Gram-Schmidt algorithm. The fuzzy competitive learning is transformed to confirm the fuzzy rules by means of orthogonal transform. The modified Gram-Schmidt orthogonal transform is used to acquire the important rules and remove the less important rules. The parameters of fuzzy model are estimated via the proposed method. The structure identification and the parameter identification of fuzzy model are synchronously identified in the proposed algorithm. The structure and parameters of fuzzy model are optimized. With the illustration of the simulating result, the fuzzy model of non-linear system can be built by the proposed algorithm.

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