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Global Asymptotic Stabilization Control for Uncertain Nonlinear Systems With Input Quantization and Unknown Output Function

delete2024-12-01
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PRE
AI
于晓威 cover
于晓威 (Xiaowei Yu)
李晓理 cover
李晓理 (Xiaoli Li) *
DOI:10.1109/TSMC.2024.3460749delete
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Abstract

Abstract

En 中文
In this article, a global output feedback control scheme is developed for a class of uncertain nonlinear systems subject to input quantization and unknown output function. By employing a time-varying gain and a time-invariant gain, we address the challenges posed by quantization errors and nonlinear functions with an unknown linear growth rate. Additionally, we determine an allowable measurement sensitivity error by solving a straightforward inequality. We demonstrate that the proposed scheme ensures global asymptotic stability for the system and guarantees that all signals of the closed-loop system remain bounded. Finally, we validate the proposed approach through a mathematical example and an experiment conducted on the QUBE-Servo 2 equipped with an inertial disc module.
Keywords:
Quantization (signal)
Nonlinear systems
Sensitivity
Asymptotic stability
Symmetric matrices
Measurement uncertainty
Lyapunov methods
Hysteresis
Output feedback
Information science
Global asymptotic stability
networked control systems (NCSs)
quantization
unknown output function

Journal

IEEE Transactions on Cybernetics cover
IEEE Transactions on Cybernetics
IF:
10.5
Papers:
1.1W
Citations:
5.0W

Organization

B
Beijing University of Technology
Scholars:
2.8W
Papers: 2.1W
Citations: 2.7W