Time-Specified Adaptive Robust Control Framework for Managing Nonlinear System Uncertainties

This paper addresses the issue of prescribed-time control for a specific class of uncertain nonlinear systems. Initially, a stability theorem based on prescribed time is introduced, utilizing adaptive techniques for the first time. Building on this theorem, a novel state feedback control approach is presented, employing the backstepping method for high-order nonlinear systems with unknown parameters to ensure convergence within the prescribed time. Furthermore, the proposed prescribed-time controller is derived in the form of continuous time-varying feedback, enabling all system states to converge to zero within the specified time. Notably, the prescribed time is independent of the system’s initial conditions, allowing it to be set arbitrarily within the physical constraints. Finally, two simulation examples are provided to demonstrate the effectiveness of the proposed algorithm.

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Publication Details

Journal
Applied Sciences
Published
2025-03-15
DOI
https://doi.org/10.3390/app15063226
Citations
3
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
3.64
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article

Time-Specified Adaptive Robust Control Framework for Managing Nonlinear System Uncertainties

Duc–Anh Pham, Seung-Hun Han, Kyeong-Ju Kong
3 citations
Applied Sciences
Adaptive Control of Nonlinear Systems
3.64
article

Time-Specified Adaptive Robust Control Framework for Managing Nonlinear System Uncertainties

Duc–Anh Pham, Seung-Hun Han, Kyeong-Ju Kong
article en
3 citations

Abstract

This paper addresses the issue of prescribed-time control for a specific class of uncertain nonlinear systems. Initially, a stability theorem based on prescribed time is introduced, utilizing adaptive techniques for the first time. Building on this theorem, a novel state feedback control approach is presented, employing the backstepping method for high-order nonlinear systems with unknown parameters to ensure convergence within the prescribed time. Furthermore, the proposed prescribed-time controller is derived in the form of continuous time-varying feedback, enabling all system states to converge to zero within the specified time. Notably, the prescribed time is independent of the system’s initial conditions, allowing it to be set arbitrarily within the physical constraints. Finally, two simulation examples are provided to demonstrate the effectiveness of the proposed algorithm.

Applied SciencesVol. 15(6)
Gyeongsang National University (KR), Pukyong National University (KR)
Openalex Percentile: Top 8%
Adaptive Control of Nonlinear Systems
3.64
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Time-Specified Adaptive Robust Control Framework for Managing Nonlinear System Uncertainties — Duc–Anh Pham, Seung-Hun Han, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS