Global Funnel Control of Nonlinear Systems with Unknown and Time-Varying Fractional Powers

This paper is concerned with the global funnel control (FC) issue of the nonlinear systems with unknown dynamics and time-varying fractional powers. An FC strategy is proposed in this paper, not only the barrier functions but also the tracking and intermediate errors are introduced to our control law in a proportional feedback way, which not only guarantees uniform performance insurance under any initial condition of the control system but also leads to about 50% reduction in control amplitude with respect to the existing solutions. Moreover, it exhibits notable simplicity, with no need for parametric details of time-varying fractional powers, adding a power integrator technique, parameter identification, function approximation or derivative calculation. A comparative simulation demonstrates the effectiveness and superiority of the developed method.

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Publication Details

Journal
Fractal and Fractional
Published
2025-10-07
DOI
https://doi.org/10.3390/fractalfract9100648
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Global Funnel Control of Nonlinear Systems with Unknown and Time-Varying Fractional Powers

Hyo‐Sung Ahn, Xuefeng Zhang, Rui‐Bo Gao, Vardulakis Antonis
Fractal and Fractional
Adaptive Control of Nonlinear Systems
article

Global Funnel Control of Nonlinear Systems with Unknown and Time-Varying Fractional Powers

Hyo‐Sung Ahn, Xuefeng Zhang, Rui‐Bo Gao, Vardulakis Antonis
article en

Abstract

This paper is concerned with the global funnel control (FC) issue of the nonlinear systems with unknown dynamics and time-varying fractional powers. An FC strategy is proposed in this paper, not only the barrier functions but also the tracking and intermediate errors are introduced to our control law in a proportional feedback way, which not only guarantees uniform performance insurance under any initial condition of the control system but also leads to about 50% reduction in control amplitude with respect to the existing solutions. Moreover, it exhibits notable simplicity, with no need for parametric details of time-varying fractional powers, adding a power integrator technique, parameter identification, function approximation or derivative calculation. A comparative simulation demonstrates the effectiveness and superiority of the developed method.

Fractal and FractionalVol. 9(10)
Aristotle University of Thessaloniki (GR), Gwangju Institute of Science and Technology (KR), Northeastern University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 65%
Adaptive Control of Nonlinear Systems
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