Variable parameter, fractional order, discrete, inertial transfer function models

In the paper, new, fractional order, variable parameter discrete transfer function models of an elementary inertial plant are proposed. One uses a time variable quasi time constant while the other employs, a variable time quasi constant and variable fractional order. Both models apply the variable fractional order backward difference to approximate the fractional operator. Both variable parameters are described by discrete, bounded functions. The accuracy and stability of the models considered are discussed. Theoretical results are validated by simulations. The proposed models can be applied to the modeling of various physical phenomena, where the constant parameter transfer function is not enough.

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Publication Details

Journal
International Journal of Applied Mathematics and Computer Science
Published
2026-01-01
DOI
https://doi.org/10.61822/amcs-2026-0002
Primary Topic
Advanced Control Systems Design
Type
article
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article

Variable parameter, fractional order, discrete, inertial transfer function models

Krzysztof Oprzędkiewicz
International Journal of Applied Mathematics and Computer Science
Advanced Control Systems Design
article

Variable parameter, fractional order, discrete, inertial transfer function models

Krzysztof Oprzędkiewicz
article en

Abstract

In the paper, new, fractional order, variable parameter discrete transfer function models of an elementary inertial plant are proposed. One uses a time variable quasi time constant while the other employs, a variable time quasi constant and variable fractional order. Both models apply the variable fractional order backward difference to approximate the fractional operator. Both variable parameters are described by discrete, bounded functions. The accuracy and stability of the models considered are discussed. Theoretical results are validated by simulations. The proposed models can be applied to the modeling of various physical phenomena, where the constant parameter transfer function is not enough.

International Journal of Applied Mathematics and Computer ScienceVol. 36(1)
Robotics Research (United States) (US), AGH University of Krakow (PL)
Openalex Percentile: Top 11%
Advanced Control Systems Design
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