Invariant-Based Inverse Engineering for Balanced Displacement of a Cartpole System

Adiabaticity is a key concept in physics, but its applications in mechanical and control engineering remain underexplored. Adiabatic invariants ensure robust dynamics under slow changes, but they impose impractical time limitations. Shortcuts to Adiabaticity (STA) overcome these limitations by enabling fast operations with minimal final excitations. In this work, we set a STA strategy based on dynamical invariants and inverse engineering to design the trajectory of a cartpole, a system characterized by its instability and repulsive potential. The trajectories found guarantee a balanced transport of the cartpole within the small oscillations regime. The results are compared to numerical simulations with the exact non-linear model to set the working domain of the designed protocol.

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Publication Details

Journal
Mathematics
Published
2025-04-08
DOI
https://doi.org/10.3390/math13081220
Primary Topic
Dynamics and Control of Mechanical Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Invariant-Based Inverse Engineering for Balanced Displacement of a Cartpole System

Ander Tobalina, A. Rodriguez-Prieto, I. Lizuain
Mathematics
Dynamics and Control of Mechanical Systems
article

Invariant-Based Inverse Engineering for Balanced Displacement of a Cartpole System

Ander Tobalina, A. Rodriguez-Prieto, I. Lizuain
article en

Abstract

Adiabaticity is a key concept in physics, but its applications in mechanical and control engineering remain underexplored. Adiabatic invariants ensure robust dynamics under slow changes, but they impose impractical time limitations. Shortcuts to Adiabaticity (STA) overcome these limitations by enabling fast operations with minimal final excitations. In this work, we set a STA strategy based on dynamical invariants and inverse engineering to design the trajectory of a cartpole, a system characterized by its instability and repulsive potential. The trajectories found guarantee a balanced transport of the cartpole within the small oscillations regime. The results are compared to numerical simulations with the exact non-linear model to set the working domain of the designed protocol.

MathematicsVol. 13(8)
University of the Basque Country (ES)
Ministerio de Ciencia, Innovación y Universidades, Eusko Jaurlaritza, Ministerio de Ciencia e Innovación
Openalex Percentile: Top 93%
Dynamics and Control of Mechanical Systems
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Invariant-Based Inverse Engineering for Balanced Displacement of a Cartpole System — Ander Tobalina, A. Rodriguez-Prieto, et al. · Mathematics (2025) | TGRS Research Map | TGRS