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] 0802[工学-机械工程] 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 tightly.It is universally acknowledged that in the existing researches with state constraints,system constraint bounds are always constants or time-varying functions.