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论文类型：期刊论文

发表时间：2021-03-08

发表刊物：JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY

卷号：34

期号：2

页面范围：502-519

ISSN号：1009-6124

关键字：Convergence analysis; fuzzy modeling; nonlinear systems; non-uniformly sampling systems

摘要：The studying motivation of this paper is that there exist many modeling issues of non-uniformly sampling nonlinear systems in industrial systems. Based on multi-model modeling principle, the corresponding model of non-uniformly sampling nonlinear systems is described by the nonlinear weighted combination of some linear models at local working points. Fuzzy modeling based on multimodel scheme is a common method to describe the dynamic process of non-linear systems. In this paper, the fuzzy modeling method of non-uniformly sampling nonlinear systems is studied. The premise structure of the fuzzy model is confirmed by GK fuzzy clustering, and the conclusion parameters of the fuzzy model are estimated by the recursive least squared algorithm. The convergence perfromance of the proposed identification algorithm is given by using lemmas and martingale theorem. Finally, the simulation example is given to demonstrate the effectiveness of the proposed method.