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论文类型：期刊论文

发表时间：2022-06-29

发表刊物：大连理工大学学报

所属单位：电子信息与电气工程学部

期号：2

页面范围：282-286

ISSN号：1000-8608

摘要：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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