Tag: model identification
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SSM-enhanced Control-Based Continuation (CBC)
In this project we aim to experimentally determine the backbone and the frequency response of a system using Control Based Continuation. CBC consists, loosely speaking, in creating a phase controller (PLL, Phase-Locked Loop) to lock a system at resonance (90°) and then extract the backbone by increasing the forcing with continuation algorithms, typical of numerical
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Physics-informed smoothing and model identification in dynamical systems
Motivation of the study. Many real-world phenomena produce time series representing the evolution of physical states, examples include the measurement of neuronal activity in neuroscience, the tracking of mechanical systems in engineering, and the monitoring of ecological processes. However, these data are often noisy, incomplete, or measured at different sample rates, making it challenging to