Data-driven method estimates limit cycles around stable equilibria using small perturbations, indicating computational efficiency.
Unstable solutions, though less prominent than stable ones, are essential in assessing the dynamical integrity of stable steady-states, as basin boundaries are often formed by unstable saddle-type solutions and their stable manifolds. This study introduces a data-driven method to estimate unstable limit cycles around stable equilibria using only small perturbation trajectories near the equilibrium. The approach requires no mathematical model, relying solely on a single phase-space trajectory, making it computationally efficient and practical for real-world applications.
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