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Advanced Barrier Function-Based Robust Prescribed Performance Control with Actuator Fault
Research Article  ·  Published: 22 April 2026
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Aerospace Engineering Communications
Volume 1, Issue 2, 2026: 68-80
Research Article Open Access

Advanced Barrier Function-Based Robust Prescribed Performance Control with Actuator Fault

by
Xiaoyu Zhu Xiaoyu Zhu 1 *
Ran Sun Ran Sun 2
Jihe Wang Jihe Wang 3 ORCID
Pukun Lu Pukun Lu 4
1 School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China
2 School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
3 School of Aeronautics and Astronautics, Sun Yat-Sen University (Shenzhen Campus), Shenzhen 518107, China
4 Department of Earth and Space Science and Engineering, York University, Toronto, ON M3J 1P3, Canada
* Corresponding Author: Xiaoyu Zhu, [email protected]
Volume 1, Issue 2
Volume 1, Issue 2 2026
Received: 28 March 2026 Accepted: 19 April 2026 Published: 22 April 2026 CrossMark
Download PDF 13.86 MB Cite Metrics
DOI: 10.62762/AEC.2026.303859
ARK: ark:/57805/aec.2026.303859

Article Information

Published in Aerospace Engineering Communications
Volume/Issue Volume 1, Issue 2, 2026
Pages 68-80
Cited by 1 (Crossref)

Abstract

This paper investigates prescribed performance control (PPC) using an advanced barrier function (ABF) based adaptive super-twisting control scheme with non-fragility. The specialty of the proposed scheme is that it removes the error transformation process, and therefore simplifies the design of PPC. Furthermore, the ABF is combined with an online adaptation law to solve the problem of fragility inherent to the traditional PPC. The proposed method is robust to actuator faults, unknown initial states, and sudden disturbances. The stability of the system is proved via the Lyapunov framework. Finally, experiments on a two-degree-of-freedom (2-DOF) helicopter platform are conducted to verify the effectiveness of the control strategy.

Graphical Abstract

Advanced Barrier Function-Based Robust Prescribed Performance Control with Actuator Fault

Keywords

advanced barrier function prescribed performance super-twisting control

Data Availability Statement

Data will be made available on request.

Funding

This work was supported without any funding.

Conflicts of Interest

The authors declare no conflicts of interest.

AI Use Statement

The authors declare that no generative AI was used in the preparation of this manuscript.

Ethical Approval and Consent to Participate

Not applicable.

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Cited By (1)

  1. Xiaoyu Zhu, Kangyi Zhang, Xiaoliang Wang, Qiang Shen, Chengxi Zhang, Dezhi Xu. Variable barrier function-based prescribed performance for attitude tracking with arbitrary initial conditions. Acta Astronautica, 2026 , 248 .
    [CrossRef]
* Citation data provided by Crossref Cited-by.

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APA Style
Zhu, X., Sun, R., Wang, J., & Lu, P. (2026). Advanced Barrier Function-Based Robust Prescribed Performance Control with Actuator Fault. Aerospace Engineering Communications, 1(2), 68–80. https://doi.org/10.62762/AEC.2026.303859
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TY  - JOUR
AU  - Zhu, Xiaoyu
AU  - Sun, Ran
AU  - Wang, Jihe
AU  - Lu, Pukun
PY  - 2026
DA  - 2026/04/22
TI  - Advanced Barrier Function-Based Robust Prescribed Performance Control with Actuator Fault
JO  - Aerospace Engineering Communications
T2  - Aerospace Engineering Communications
JF  - Aerospace Engineering Communications
VL  - 1
IS  - 2
SP  - 68
EP  - 80
DO  - 10.62762/AEC.2026.303859
UR  - https://www.icck.org/article/abs/AEC.2026.303859
KW  - advanced barrier function
KW  - prescribed  performance
KW  - super-twisting control
AB  - This paper investigates prescribed performance control (PPC) using an advanced barrier function (ABF) based adaptive super-twisting control scheme with non-fragility. The specialty of the proposed scheme is that it removes the error transformation process, and therefore simplifies the design of PPC. Furthermore, the ABF is combined with an online adaptation law to solve the problem of fragility inherent to the traditional PPC. The proposed method is robust to actuator faults, unknown initial states, and sudden disturbances. The stability of the system is proved via the Lyapunov framework. Finally, experiments on a two-degree-of-freedom (2-DOF) helicopter platform are conducted to verify the effectiveness of the control strategy.
SN  - 3071-1967
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  -
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
@article{Zhu2026Advanced,
  author = {Xiaoyu Zhu and Ran Sun and Jihe Wang and Pukun Lu},
  title = {Advanced Barrier Function-Based Robust Prescribed Performance Control with Actuator Fault},
  journal = {Aerospace Engineering Communications},
  year = {2026},
  volume = {1},
  number = {2},
  pages = {68-80},
  doi = {10.62762/AEC.2026.303859},
  url = {https://www.icck.org/article/abs/AEC.2026.303859},
  abstract = {This paper investigates prescribed performance control (PPC) using an advanced barrier function (ABF) based adaptive super-twisting control scheme with non-fragility. The specialty of the proposed scheme is that it removes the error transformation process, and therefore simplifies the design of PPC. Furthermore, the ABF is combined with an online adaptation law to solve the problem of fragility inherent to the traditional PPC. The proposed method is robust to actuator faults, unknown initial states, and sudden disturbances. The stability of the system is proved via the Lyapunov framework. Finally, experiments on a two-degree-of-freedom (2-DOF) helicopter platform are conducted to verify the effectiveness of the control strategy.},
  keywords = {advanced barrier function, prescribed  performance, super-twisting control},
  issn = {3071-1967},
  publisher = {Institute of Central Computation and Knowledge}
}

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