Global Stabilization via Adaptive Event-Triggered Output Feedback for Nonlinear Systems with Unknown Measurement Sensitivity

被引：4

作者：

Wang, Yupin ^{[1
]}

Li, Hui ^{[2
]}

机构：

[1] Shandong Normal Univ, Sch Math & Stat, Jinan 250358, Peoples R China

[2] Univ Jinan, Sch Math Sci, Jinan 250022, Peoples R China

来源：

IEEE-CAA JOURNAL OF AUTOMATICA SINICA | 2025年 / 12卷 / 04期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Sensitivity; Uncertainty; Adaptive systems; Measurement uncertainty; Time-varying systems; Output feedback; Nonlinear dynamical systems; HIGH-GAIN;

D O I：

10.1109/JAS.2023.123984

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Dear Editor, This letter investigates global stabilization of uncertain nonlinear systems via adaptive event-triggered output feedback. Uncertainties lie in both system nonlinearities and measurement sensitivity. To this end, a dynamic high gain is introduced to cope with the influence of large uncertainties, the unknown measurement sensitivity and the execution error, while a time-varying threshold event-triggering mechanism is constructed to effectively exclude the Zeno phenomenon. As such, the adaptive event-triggered control ensures globally bounded and convergent of system states. The design method is demonstrated using a controlled pendulum example. IEEE

引用

页码：833 / 835

页数：3

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