Fuzzy modeling of multirate sampled nonlinear systems based on multi-model method  

作　　者：WANG Hongwei FENG Penglong 

机构地区：[1]School of Electrical Engineering,Xinjiang University,Urumqi 830047,China [2]School of Control Science and Engineering,Dalian University of Technology,Dalian 110024,China

出　　处：《Journal of Systems Engineering and Electronics》2020年第4期761-769,共9页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61863034)。

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.

关 键 词：multirate sampled data nonlinear system fuzzy model MULTI-MODEL 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]