A New Sliding Mode Filter With an Exponential Approaching Term and Its Discretization

ABSTRACT This paper presents a new sliding mode filter for noise attenuation and derivative estimation. The proposed filter is an improved version of Kamal et al.'s sliding mode filter by incorporating an exponential approaching term to achieve a rapid response and alleviate overshoot during the response phase to some extent. The stability of the system is analyzed using the Lyapunov approach. In addition, the discrete‐time implementation of the proposed filter employs the semi‐implicit Euler scheme, and by exploiting the equivalence of the signum and saturation functions, chattering‐free outputs are achieved. Its performance is validated through numerical simulations.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2026-01-02
DOI
https://doi.org/10.1002/rnc.70365
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
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article

A New Sliding Mode Filter With an Exponential Approaching Term and Its Discretization

Zuoping Zhao, Dongyang Li, Zhengjian Lai
International Journal of Robust and Nonlinear Control
Advanced Adaptive Filtering Techniques
article

A New Sliding Mode Filter With an Exponential Approaching Term and Its Discretization

Zuoping Zhao, Dongyang Li, Zhengjian Lai
article en

Abstract

ABSTRACT This paper presents a new sliding mode filter for noise attenuation and derivative estimation. The proposed filter is an improved version of Kamal et al.'s sliding mode filter by incorporating an exponential approaching term to achieve a rapid response and alleviate overshoot during the response phase to some extent. The stability of the system is analyzed using the Lyapunov approach. In addition, the discrete‐time implementation of the proposed filter employs the semi‐implicit Euler scheme, and by exploiting the equivalence of the signum and saturation functions, chattering‐free outputs are achieved. Its performance is validated through numerical simulations.

International Journal of Robust and Nonlinear ControlVol. 36(6)
Yanbian University (CN), Huzhou Vocational and Technical College (CN), Nanyang Institute of Technology (CN)
Openalex Percentile: Top 98%
Advanced Adaptive Filtering Techniques
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A New Sliding Mode Filter With an Exponential Approaching Term and Its Discretization — Zuoping Zhao, Dongyang Li, et al. · International Journal of Robust and Nonlinear Control (2026) | TGRS Research Map | TGRS