Design of prescribed-time adaptive observers for uncertain nonlinear systems with unmodeled dynamics

This paper addresses the design of a prescribed-time adaptive extended observer (PTAEO) for an uncertain nonlinear systems with unmodeled dynamics. First, a prescribed-time adaptive observer (PTAO) is developed to estimate the state variables of linear systems with external disturbances and unknown parameters. Second, building upon the PTAO, a PTAEO is proposed for nonlinear systems affected by unmodeled dynamics. Both observer systems guarantee convergence to a bounded region for arbitrary initial conditions, and reach this region within the prescribed time. Finally, the effectiveness of the proposed observation scheme is illustrated through a numerical simulation example.

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Publication Details

Journal
International Journal of Control
Published
2026-10-28
DOI
https://doi.org/10.1080/00207179.2026.2750916
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Design of prescribed-time adaptive observers for uncertain nonlinear systems with unmodeled dynamics

Haoxuan Guo, Feng Sun, Jiani Zhou, Zhiqiang Pan et al.
International Journal of Control
Adaptive Control of Nonlinear Systems
article

Design of prescribed-time adaptive observers for uncertain nonlinear systems with unmodeled dynamics

Haoxuan Guo, Feng Sun, Jiani Zhou, Zhiqiang Pan, Zhuang Chen, Mingjun Ouyang
article en

Abstract

This paper addresses the design of a prescribed-time adaptive extended observer (PTAEO) for an uncertain nonlinear systems with unmodeled dynamics. First, a prescribed-time adaptive observer (PTAO) is developed to estimate the state variables of linear systems with external disturbances and unknown parameters. Second, building upon the PTAO, a PTAEO is proposed for nonlinear systems affected by unmodeled dynamics. Both observer systems guarantee convergence to a bounded region for arbitrary initial conditions, and reach this region within the prescribed time. Finally, the effectiveness of the proposed observation scheme is illustrated through a numerical simulation example.

International Journal of Control
Jilin University (CN)
Openalex Percentile: Top 17%
Adaptive Control of Nonlinear Systems
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