文献类型：期刊文献

英文题名：Nonlinear adaptive switching control for a class of non-affine nonlinear systems

作者：Huang, Miao[1,2];Huang, Xin[3];Wang, Zhenlei[1]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Univ Shanghai Sci & Technol, Sch Opt Elect & Comp Engn, Shanghai 200093, Peoples R China;[3]Shanghai Jiao Tong Univ, Ctr Elect & Elect Technol, Shanghai 200240, Peoples R China

年份：2016

卷号：24

期号：9

起止页码：1243

外文期刊名：CHINESE JOURNAL OF CHEMICAL ENGINEERING

收录：;EI(收录号：20164402970350);WOS:【SCI-EXPANDED(收录号:WOS:000387583600016)】；

基金：Supported by the National Natural Science Foundation of China (61333010, 21376077, 61203157), the Natural Science Foundation of Shanghai (14ZR1421800) and State Key Laboratory of Synthetical Automation for Process Industries (PAL-N201404).

语种：英文

外文关键词：Non-affine nonlinear systems; Nonlinear adaptive switching control; Incremental model

摘要：An improved nonlinear adaptive switching controlmethod is presented to relax the assumption on the higher order nonlinear terms of a class of discrete-time non-affine nonlinear systems. The proposed control strategy is composed of a linear adaptive controller, a neural network (NN) based nonlinear adaptive controller and a switching mechanism. An incremental model is derived to represent the considered system and an improved robust adaptive law is chosen to update the parameters of the linear adaptive controller. A new performance criterion of the switching mechanism is designed to select the proper controller. Using this control scheme, all the signals in the system are proved to be bounded. Numerical examples verify the effectiveness of the proposed algorithm. (C) 2016 The Chemical Industry and Engineering Society of China, and Chemical Industry Press. All rights reserved.