Adaptive Neural Control for Nonlinear MIMO Function Constraint Systems

作     者：Tianqi Yu Yan-Jun Liu Lei Liu Tianqi Yu;Yan-Jun Liu;Lei Liu

作者机构：College of ScienceLiaoning University of TechnologyJinzhou 121001China IEEE 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2023年第10卷第3期

页      面：816-818页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统] 0802[工学-机械工程] 0835[工学-软件工程] 0811[工学-控制科学与工程] 080201[工学-机械制造及其自动化] 

基　　金：supported in part by the National Natural Science Foundation of China(62025303 62173173) 

主　　题：MIMO constraints Nonlinear 

摘      要：Dear Editor,In this letter,a novel adaptive control design problem for uncertain nonlinear multi-input-multi-output(MIMO)systems with time-varying full state constraints is proposed,where the considered systems consist of various subsystems,and the states of each subsystem are interconnected *** is universally acknowledged that in the existing researches with state constraints,system constraint bounds are always constants or time-varying functions.