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Trajectory design and budgeted querying for digital twin calibration

Strategies for data collection in digital twin calibration are studied, including trajectory selection and budgeted querying of privileged parameters. A framework combines an excitation-oriented RL controller, a recurrent parameter estimator with predictive uncertainty, and a budgeted query policy.

Why it matters

Improves efficiency of digital twin calibration, reducing data collection costs and enhancing model accuracy in dynamic systems.

Relevant to DT products

Original headline
Trajectory Design and Budgeted Querying for Digital Twin Calibration
Read the original: arXiv API — полнотекстовый поиск "digital twin"

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