文献类型：期刊文献

英文题名：Adaptive modified prescribed performance constraint control for uncertain nonlinear discrete-time systems

作者：Zhang, Yanqi[1];Wang, Zhenlei[1];Wang, Xin[2]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Shanghai Jiao Tong Univ, Ctr Elect & Elect Technol, Shanghai 200240, Peoples R China

年份：2023

卷号：441

外文期刊名：APPLIED MATHEMATICS AND COMPUTATION

收录：;EI(收录号：20224713149800);WOS:【SCI-EXPANDED(收录号:WOS:000903752800012)】；

基金：This work was supported by National Natural Science Foundation of China (Basic Science Center Program: 61988101) , Natural Science Foundation of China (62233005 , 62173147) , the Programme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017 and Shanghai AI Lab.

语种：英文

外文关键词：Prescribed performance; Error constraint; Adaptive control; Discrete time nonlinear systems

摘要：In this work, an adaptive output constraint control scheme-based on modified prescribed performance function is investigated for a class of discrete time nonlinear systems subject to unknown parameters and uncertain dynamics. Unlike the traditional adaptive output constraint approach that employs barrier Lyapunov functions, a modified prescribed per-formance function is first employed to guarantee that the tracking error can convergence to a predefined and asymmetric neighborhood of zero and that the safety constraint bound of the system output is not violated. In order to reduce the effect of unknown parameters, the multiple model set is constructed and it can improve the transient response of sys-tems. The specific features of the established multiple model method are that it not only can enhance the cooperativity of each identification model, but also reduce the computa-tional burden since it does not require to a large number of models. The neural networks are utilized to approximated unknown dynamics. At the same time, the prescribed perfor-mance function, slide variable and second adaptive level technology in a unified framework are employed to design the controller. In order to verify the effectiveness of the established control scheme, the presented output constraint method is implemented to two numerical examples.(c) 2022 Elsevier Inc. All rights reserved.