Adaptive Fixed-Time Stabilization for a Class of Uncertain Nonlinear Systems

被引：52
|
作者：
Meng, Qingtan [1 ]
Ma, Qian [1 ]
Shi, Yang [2 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
[2] Univ Victoria, Dept Mech Engn, Victoria, BC V8W 2Y2, Canada
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2023年 / 68卷 / 11期
关键词：
Adaptive control; backstepping method; fixed-time control; uncertain nonlinear system; TRACKING CONTROL; PRACTICAL TRACKING; FEEDBACK; DESIGN;
D O I：
10.1109/TAC.2023.3244151
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article studies the problem of fixed-time stabilization for a class of nonlinear systems with parameteric uncertainties, where the nonlinear functions are constrained by an unknown linear growth condition. By establishing a new adaptive fixed-time stability analysis criterion, it is proved that the closed-loop system is fixed-time stable and all the states can be regulated to zero. In addition, the singularity problem caused by the back-stepping method under fixed-time control can be avoided. Finally, the effectiveness of the control strategy is verified by a simulation example.
引用
收藏
页码：6929 / 6936
页数：8
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