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Adaptive Quantized Predefined-Time Backstepping Control for Nonlinear Strict-Feedback Systems
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DOI：10.1109/TCSII.2022.3175739.png)
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Abstract
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.
Keywords:
Tuning
Backstepping
Adaptive systems
Convergence
Time-varying systems
Upper bound
Estimation error
Adaptive backstepping
predefined-time control
quantized control
strict-feedback system
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