State feedback dynamic sliding mode control of T-S fuzzy descriptor system based on super-twisting algorithm

Abstract The paper proposes a dynamic sliding mode control method based on the multivariable super-twisting algorithm for T-S fuzzy descriptor systems. Existing sliding mode control methods have significant limitations and still face chattering issues. The approach utilized in this paper fully leverages the advantages of the super-twisting algorithm, effectively reducing chattering during the control process and enhancing the system’s response speed and control accuracy. The reduction of chattering not only improves the control performance but also extends the system’s lifespan. Additionally, the paper conducts in-depth analysis of the entire system, using mathematical models and theoretical deductions to demonstrate that the proposed control method can effectively ensure system stability. This theoretical outcome provides a solid foundation for practical applications, ensuring the reliability of the control scheme.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-03-01
DOI
https://doi.org/10.1088/1742-6596/2975/1/012022
Primary Topic
Advanced Algorithms and Applications
Type
article
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article

State feedback dynamic sliding mode control of T-S fuzzy descriptor system based on super-twisting algorithm

Xiangyu Li, Pengyao Sun
Journal of Physics Conference Series
Advanced Algorithms and Applications
article

State feedback dynamic sliding mode control of T-S fuzzy descriptor system based on super-twisting algorithm

Xiangyu Li, Pengyao Sun
article en

Abstract

Abstract The paper proposes a dynamic sliding mode control method based on the multivariable super-twisting algorithm for T-S fuzzy descriptor systems. Existing sliding mode control methods have significant limitations and still face chattering issues. The approach utilized in this paper fully leverages the advantages of the super-twisting algorithm, effectively reducing chattering during the control process and enhancing the system’s response speed and control accuracy. The reduction of chattering not only improves the control performance but also extends the system’s lifespan. Additionally, the paper conducts in-depth analysis of the entire system, using mathematical models and theoretical deductions to demonstrate that the proposed control method can effectively ensure system stability. This theoretical outcome provides a solid foundation for practical applications, ensuring the reliability of the control scheme.

Journal of Physics Conference SeriesVol. 2975(1)
Shenyang Ligong University (CN)
Openalex Percentile: Top 95%
Advanced Algorithms and Applications
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State feedback dynamic sliding mode control of T-S fuzzy descriptor system based on super-twisting algorithm — Xiangyu Li, Pengyao Sun · Journal of Physics Conference Series (2025) | TGRS Research Map | TGRS