Optimal Gain Selection for the Arbitrary‐Order Homogeneous Differentiator

ABSTRACT Differentiation of noisy signals is a relevant and challenging task. Widespread approaches are the linear high‐gain observer acting as a differentiator and Levant's robust exact differentiator with a discontinuous right‐hand side. We consider the family of arbitrary‐order homogeneous differentiators, which includes these special cases. The effect of noise and disturbance on the differentiation estimation error of interest is estimated in terms of the homogeneous ‐gain. For this purpose, we construct a solution to the homogeneous differential dissipation inequality based on a Lyapunov function. Analogous to the classical ‐gain, the homogeneous ‐gain is not defined for the discontinuous case when a disturbance acts on the last channel. Hence, only continuous differentiators are considered. In a high‐gain setup, we show not only the existence of an optimal gain‐scaling that globally minimizes the homogeneous ‐gain estimate for any admissible , including the worst‐case considerations , but also how to obtain it. The theoretical results are underlined with extensive numerical evaluation and simulation examples.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2026-02-28
DOI
https://doi.org/10.1002/rnc.70460
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
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article

Optimal Gain Selection for the Arbitrary‐Order Homogeneous Differentiator

Benjamin Calmbach, Johann Reger, Jaime A. Moreno
International Journal of Robust and Nonlinear Control
Stability and Control of Uncertain Systems
article

Optimal Gain Selection for the Arbitrary‐Order Homogeneous Differentiator

Benjamin Calmbach, Johann Reger, Jaime A. Moreno
article en

Abstract

ABSTRACT Differentiation of noisy signals is a relevant and challenging task. Widespread approaches are the linear high‐gain observer acting as a differentiator and Levant's robust exact differentiator with a discontinuous right‐hand side. We consider the family of arbitrary‐order homogeneous differentiators, which includes these special cases. The effect of noise and disturbance on the differentiation estimation error of interest is estimated in terms of the homogeneous ‐gain. For this purpose, we construct a solution to the homogeneous differential dissipation inequality based on a Lyapunov function. Analogous to the classical ‐gain, the homogeneous ‐gain is not defined for the discontinuous case when a disturbance acts on the last channel. Hence, only continuous differentiators are considered. In a high‐gain setup, we show not only the existence of an optimal gain‐scaling that globally minimizes the homogeneous ‐gain estimate for any admissible , including the worst‐case considerations , but also how to obtain it. The theoretical results are underlined with extensive numerical evaluation and simulation examples.

International Journal of Robust and Nonlinear Control
Technische Universität Ilmenau (DE), Universidad Autónoma de la Ciudad de México (MX), Universidad Nacional Autónoma de México (MX)
Reduced inequalities
Openalex Percentile: Top 32%
Stability and Control of Uncertain Systems
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