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arXiv · 2505.03493

Sequentially learning regions of attraction from data

Oumayma Khattabi·Matteo Tacchi-Bénard·Sorin Olaru
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Abstract

The paper is dedicated to data-driven analysis of dynamical systems. It deals with certifying the basin of attraction of a stable equilibrium for an unknown dynamical system. It is supposed that point-wise evaluation of the right-hand side of the ordinary differential equation governing the system is available for a set of points in the state space. Technically, a Piecewise Affine Lyapunov function will be constructed iteratively using an optimisation-based technique for the effective validation of the certificates. As a main contribution, whenever those certificates are violated locally, a refinement of the domain and the associated tessellation is produced, thus leading to an improvement in the description of the domain of attraction.

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Oumayma Khattabi, Matteo Tacchi-Bénard, Sorin Olaru. 2025-05-06. Sequentially learning regions of attraction from data. https://arxiv.org/abs/2505.03493

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