Output feedback stabilization of nonlinear switched systems via incomplete information

This paper addresses the challenging problem of output feedback finite-time stabilization for a class of nonlinear switched systems subject to digital signal constraints. Existing methods typically handle state observation, signal sampling, and quantization separately, leading to conservative results and an inability to guarantee finite-time convergence. An integrated framework is proposed, comprising a finite-time stabilizer designed via the adding a power integrator techniques, a reduced-order switched observer for output feedback, and Zeno-free switched dynamic event-triggered mechanisms whose quantized signals are transmitted over a network and maintained by a zero-order hold. Simultaneously addressing the challenges of switched dynamics, unmeasurable states, limited bandwidth, and signal quantization, this integrated framework guarantees finite-time convergence of all closed-loop states to the origin. Finally, numerical simulation results are provided to demonstrate the effectiveness of the proposed approaches.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2026-10-09
DOI
https://doi.org/10.1177/01423312261493654
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Output feedback stabilization of nonlinear switched systems via incomplete information

Zhaomeng Xu, Yude Xia, Yuanshan Liu, Jinjiang Li et al.
Transactions of the Institute of Measurement and Control
Stability and Control of Uncertain Systems
article

Output feedback stabilization of nonlinear switched systems via incomplete information

Zhaomeng Xu, Yude Xia, Yuanshan Liu, Jinjiang Li, Wenxiang Jiang
article en

Abstract

This paper addresses the challenging problem of output feedback finite-time stabilization for a class of nonlinear switched systems subject to digital signal constraints. Existing methods typically handle state observation, signal sampling, and quantization separately, leading to conservative results and an inability to guarantee finite-time convergence. An integrated framework is proposed, comprising a finite-time stabilizer designed via the adding a power integrator techniques, a reduced-order switched observer for output feedback, and Zeno-free switched dynamic event-triggered mechanisms whose quantized signals are transmitted over a network and maintained by a zero-order hold. Simultaneously addressing the challenges of switched dynamics, unmeasurable states, limited bandwidth, and signal quantization, this integrated framework guarantees finite-time convergence of all closed-loop states to the origin. Finally, numerical simulation results are provided to demonstrate the effectiveness of the proposed approaches.

Transactions of the Institute of Measurement and Control
Nanjing Institute of Railway Technology (CN), Shandong Institute of Business and Technology (CN)
Openalex Percentile: Top 17%
Stability and Control of Uncertain Systems
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