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Trajectory Design and Budgeted Querying for Digital Twin Calibration
US & West ·
Strategies for digital twin calibration, including trajectory selection and limited budget for parameter measurements, are studied. A framework combining a reinforcement learning controller, recurrent parameter estimator, and budgeted query policy is proposed. Training on optimized trajectories achieves high accuracy with limited queries.
Why it matters
The news is relevant to modeling practice as efficient calibration of digital twins is critical for their accuracy and practical use in system management.
Investigates how many training pilots are needed when a digital twin of a wireless channel is used for channel estimation. The twin is treated as a complementary measurement fused with pilot observations. For the first time, this trade-off is formalized and quantified.
The article discusses an architecture of a digital twin for nuclear systems, integrating multiple models (physics-based and data-driven) to support decision making, state estimation, predictive control, and real-time data processing. The twin must synchronize with the physical facility faster than its operational cycle.
The company 'Aktiv' has finalized a document based on the foresight session held in Moscow in March 2025. The document includes strategic recommendations and forecasts for the industry development until 2040.
