Adaptive Fixed-Time Stabilization for a Class of Uncertain Nonlinear Systems
成果类型:
Article
署名作者:
Meng, Qingtan; Ma, Qian; Shi, Yang
署名单位:
Nanjing University of Science & Technology; University of Victoria
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2023.3244151
发表日期:
2023
页码:
6929-6936
关键词:
adaptive control
backstepping method
fixed-time control
uncertain nonlinear system.
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.
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