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Abstract

A computer-implemented method is disclosed for automatically tuning a digital twin of a physical system (302) that utilizes a physics-based model (304) of the physical system (302). The method uses a trained mapping (308) between a physics-based parameter set of the physics-based model (304) and a filter coefficient set of an adaptive filter (306) applied to the physical system (302). An adaptive filtering-based approach is used to update the filter coefficient set at discrete time steps based on an error between an output signal measured from the physical system (302) in response to an input signal and an output response computed by the physics-based model (304) for the same input signal. The trained mapping (308) is then used to determine updated parameter values in the physics-based parameter set from the updated filter coefficient set. The method may be used to adapt a digital twin simulation at runtime to closely match the behavior of a physical system (302).

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