Generalized fault estimator-based prescribed performance control for a class of strict-feedback nonlinear systems

This paper addresses fault estimation and prescribed performance control for strict-feedback nonlinear systems subject to unknown time-varying faults. By introducing a novel intermediate variable for fault estimation, an adaptive fault estimator and a fault-tolerant controller are proposed. Utilizing a proof by contradiction, the designed prescribed performance control scheme resolves the complex coupling between fault estimation and adaptive control. Furthermore, all closed-loop signals are proven bounded, with both tracking and state errors converging to predesigned compact sets. Finally, numerical simulation on a single-link robot system validates the effectiveness of the proposed algorithm.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025819
Primary Topic
Fault Detection and Control Systems
Type
article
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article

Generalized fault estimator-based prescribed performance control for a class of strict-feedback nonlinear systems

Xuechao Zhang, Shichang Lu
AIMS Mathematics
Fault Detection and Control Systems
article

Generalized fault estimator-based prescribed performance control for a class of strict-feedback nonlinear systems

Xuechao Zhang, Shichang Lu
article en

Abstract

This paper addresses fault estimation and prescribed performance control for strict-feedback nonlinear systems subject to unknown time-varying faults. By introducing a novel intermediate variable for fault estimation, an adaptive fault estimator and a fault-tolerant controller are proposed. Utilizing a proof by contradiction, the designed prescribed performance control scheme resolves the complex coupling between fault estimation and adaptive control. Furthermore, all closed-loop signals are proven bounded, with both tracking and state errors converging to predesigned compact sets. Finally, numerical simulation on a single-link robot system validates the effectiveness of the proposed algorithm.

AIMS MathematicsVol. 10(8)
University of Science and Technology Liaoning (CN), Liaoning Technical University (CN)
Climate action
Openalex Percentile: Top 76%
Fault Detection and Control Systems
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