Constructing Linear Operators Using Classical Perturbation Theory

This work introduces a methodology for generating linear operators that approximately represent nonlinear systems of perturbed ordinary differential equations. This is done through the application of classical perturbation theory via the Lindstedt–Poincaré expansion, followed by an extension of the space of configuration that guarantees the linear representation of the expanded system of differential equations. To ensure that such a linear representation exists, this paper uses polynomial basis functions. Pseudocode describing the implementation of the proposed method is listed. The method is applied to the Duffing oscillator as well as to the [Formula: see text] problem, with and without atmospheric drag, both analyzed using an osculating formulation. Additionally, conditions on the osculating Keplerian elements that produce low-eccentricity frozen orbits are presented, and a modification of the Lindstedt–Poincaré method is proposed to enable the generation of linear operators that dynamically adapt to changes in the frequency of the motion. Finally, the proposed method is compared with alternatives in the literature.

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Publication Details

Journal
Journal of Guidance Control and Dynamics
Published
2025-04-07
DOI
https://doi.org/10.2514/1.g008683
Citations
1
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
1.32
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article

Constructing Linear Operators Using Classical Perturbation Theory

David Arnas, Miguel Avillez
1 citations
Journal of Guidance Control and Dynamics
Model Reduction and Neural Networks
1.32
article

Constructing Linear Operators Using Classical Perturbation Theory

David Arnas, Miguel Avillez
article en
1 citations

Abstract

This work introduces a methodology for generating linear operators that approximately represent nonlinear systems of perturbed ordinary differential equations. This is done through the application of classical perturbation theory via the Lindstedt–Poincaré expansion, followed by an extension of the space of configuration that guarantees the linear representation of the expanded system of differential equations. To ensure that such a linear representation exists, this paper uses polynomial basis functions. Pseudocode describing the implementation of the proposed method is listed. The method is applied to the Duffing oscillator as well as to the [Formula: see text] problem, with and without atmospheric drag, both analyzed using an osculating formulation. Additionally, conditions on the osculating Keplerian elements that produce low-eccentricity frozen orbits are presented, and a modification of the Lindstedt–Poincaré method is proposed to enable the generation of linear operators that dynamically adapt to changes in the frequency of the motion. Finally, the proposed method is compared with alternatives in the literature.

Journal of Guidance Control and DynamicsVol. 48(7)
Purdue University West Lafayette (US)
Openalex Percentile: Top 21%
Model Reduction and Neural Networks
1.32
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