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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.
Digital twin simulation models are evolved and redeployed like software, yet DEVS-based engines offer a sound formal basis with little support for versioning, automated validation, or continuous delivery in cloud-native environments, leaving model lifecycle management ad hoc in most deployments.
arXiv:2512.13229v2 Announce Type: replace Abstract: As cyber-physical systems (CPSs) become more dependent on data and communication networks, their vulnerability to false data injection (FDI) attacks has raised significant concerns.
Компания «Актив» завершила работу над итоговым документом по результатам форсайт-сессии «Будущее безопасности киберфизических систем в России. Перспективы и векторы развития», которая прошла в Москве в марте 2025 года.
