Global Adaptive Control for Uncertain Nonlinear Systems Under Switching Event‐Triggered Strategy

ABSTRACT The switching event‐triggered (ET) adaptive control problem is considered in this article for uncertain nonlinear systems with multiple time‐varying delays. Different from many existing results, the nonlinear terms of the studied system satisfy a more general growth condition. Firstly, a dynamic‐gain observer is constructed to estimate the unmeasurable states. Meanwhile, a novel dynamic gain is introduced to address system uncertainties. Then, a new ET controller is proposed together with a switching threshold rule, in which the threshold parameter can be adjusted dynamically. To cope with multiple time‐varying delays, an improved Lyapunov–Krasovskii (LK) functional is employed with the dynamic gain. The designed control algorithm can regulate all states of the closed‐loop system (CLS), and Zeno behavior is effectively prevented. Finally, simulation studies verify the effectiveness of the theoretical result.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2026-02-05
DOI
https://doi.org/10.1002/rnc.70417
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Global Adaptive Control for Uncertain Nonlinear Systems Under Switching Event‐Triggered Strategy

Manman Yuan, Wei Qian
International Journal of Robust and Nonlinear Control
Adaptive Control of Nonlinear Systems
article

Global Adaptive Control for Uncertain Nonlinear Systems Under Switching Event‐Triggered Strategy

Manman Yuan, Wei Qian
article en

Abstract

ABSTRACT The switching event‐triggered (ET) adaptive control problem is considered in this article for uncertain nonlinear systems with multiple time‐varying delays. Different from many existing results, the nonlinear terms of the studied system satisfy a more general growth condition. Firstly, a dynamic‐gain observer is constructed to estimate the unmeasurable states. Meanwhile, a novel dynamic gain is introduced to address system uncertainties. Then, a new ET controller is proposed together with a switching threshold rule, in which the threshold parameter can be adjusted dynamically. To cope with multiple time‐varying delays, an improved Lyapunov–Krasovskii (LK) functional is employed with the dynamic gain. The designed control algorithm can regulate all states of the closed‐loop system (CLS), and Zeno behavior is effectively prevented. Finally, simulation studies verify the effectiveness of the theoretical result.

International Journal of Robust and Nonlinear Control
Henan Polytechnic University (CN)
Openalex Percentile: Top 66%
Adaptive Control of Nonlinear Systems
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