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Adaptive Quantized Predefined-Time Backstepping Control for Nonlinear Strict-Feedback Systems

delete2022-09-01
delete13
PRE
AI
B
Bojun Liu
W
Wencong Wang
Y
Yankai Li *
G
Guo Xie
DOI:10.1109/TCSII.2022.3175739delete
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摘要

摘要

En 中文
A novel adaptive quantized predefined-time control scheme is proposed in this brief for a class of uncertain nonlinear strict-feedback systems. Composite state tracking errors and a composite estimation error are utilized in backstepping design with introducing two time-varying tuning functions. It is shown that the output tracking error can be steered to an arbitrarily small neighborhood of the origin within a user-predefined time, which is an exact design parameter. The provided upper bound of settling time is less conservative compared with related studies. A simulation example shows the effectiveness of the control strategy.
Keyword:
Tuning
Backstepping
Adaptive systems
Convergence
Time-varying systems
Upper bound
Estimation error
Adaptive backstepping
predefined-time control
quantized control
strict-feedback system

期刊

I
IEEE Transactions on Circuits and Systems and Express Briefs
IF:
4.9
论文数:
8.8K
被引数:
2.5W

机构

N
Northwestern Polytechnical University
学者数:
4.6W
论文数: 3.7W
被引数: 5.3W
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