A data-driven reconstruction recovers leading resonant normal form coefficients in phase oscillator networks from noisy observations, with first- and second-order procedures and proven error bounds under stated assumptions.
Re- covering sparse networks: Basis adaptation and stability under ex- tensions.Physica D: Nonlinear Phenomena, 424:132895, October 2021
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Reconstructing resonant phase oscillator interactions from noisy time series
A data-driven reconstruction recovers leading resonant normal form coefficients in phase oscillator networks from noisy observations, with first- and second-order procedures and proven error bounds under stated assumptions.