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论文类型：期刊论文

发表时间：2021-01-10

发表刊物：JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS

卷号：31

期号：4

页面范围：761-769

ISSN号：1004-4132

关键字：multirate sampled data; nonlinear system; fuzzy model; multi-model

摘要：Based on the multi-model principle, the fuzzy identification for nonlinear systems with multirate sampled data is studied. Firstly, the nonlinear system with multirate sampled data can be shown as the nonlinear weighted combination of some linear models at multiple local working points. On this basis, the fuzzy model of the multirate sampled nonlinear system is built. The premise structure of the fuzzy model is confirmed by using fuzzy competitive learning, and the conclusion parameters of the fuzzy model are estimated by the random gradient descent algorithm. The convergence of the proposed identification algorithm is given by using the martingale theorem and lemmas. The fuzzy model of the PH neutralization process of acid-base titration for hair quality detection is constructed to demonstrate the effectiveness of the proposed method.