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Indexed by:期刊论文

Date of Publication:2022-06-28

Journal:控制理论与应用

Affiliation of Author(s):电子信息与电气工程学部

Issue:1

Page Number:85-88

ISSN No.:1000-8152

Abstract:The MGS (modified Gram-Schmidt) algorithm is proposed to construct the fuzzy ARMAX model. An integrated algorithm for structure identification and parameter identification of fuzzy model is given based on MGS algorithm. The result from GK fuzzy clustering is transformed to confirm the important rules and to remove the less important rules by means of MGS transformation. The parameters of fuzzy model are estimated via the proposed method; and the structure and parameters of fuzzy model are optimized. Simulation results show that the fuzzy ARMAX model of non-linear system can be built by the proposed algorithm.

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