Market & productsКоц: ИИ Palantir через Nebius мог получить данные россиянTechora.ru · yesterdayModellingAccelMPC: High-Rate, Low-Power FPGA-Accelerated Model Predictive Control for Tiny DronesarXiv — Systems and Control (eess.SY) · 2dDigital twinA Model-Centric DevOps Architecture for DEVS-Based Digital Twin Simulation ServicesarXiv API — полнотекстовый поиск "digital twin" · 2dDigital twinPlant Equivalent Controller Realizations for Attack-Resilient Cyber-Physical SystemsarXiv — Systems and Control (eess.SY) · 2dModellingIdentifiability of Latent Space Network Models on Anisotropic Thurston GeometriesarXiv — Physics and Society (physics.soc-ph) · 2dDigital twinОпубликованы итоги форсайт-сессии «Будущее безопасности киберфизических систем в России. Перспективы и векторы развития»spbIT · 2dForecastingBaseline-improved Economic Model Predictive Control for Optimal Microgrid DispatcharXiv — Systems and Control (eess.SY) · 2dModellingStochastic Model Predictive Control under AC Power-Flow Constraints Using Generative LearningarXiv — Systems and Control (eess.SY) · 3dMarket & productsPalantir меняет метрику: вместо количества клиентов — совокупная стоимость контрактовTechora.ru · 2dModellingАтаки на агентные системы и защита данныхХабр · 3dDigital twinEmbedding Model-form Uncertainty in Probabilistic Calibration of Digital Twins for BridgesarXiv API — полнотекстовый поиск "digital twin" · 3dModellingAgentHomeID - Agent-based modelling of building stock transformation: A multi-scale framework for policy assessment and infrastructure planningarXiv — Systems and Control (eess.SY) · 3d
Ground-Truth-Aware Stress Testing of a Closed-Loop Smart-Building Digital Twin Under Sensor Drift and Missing Data
US & West ·
A ground-truth-aware simulation framework is introduced that separates the latent physical state from a corrupted sensing layer and compares practical control policies with an oracle controller. The model includes 20 zones, models occupancy-driven CO2 and ventilation-energy trade-offs, sensor drift, and missing data, allowing to assess the impact of sensing errors on closed-loop performance.
Why it matters
This is important as it highlights the need to account for data quality when evaluating digital twins, which affects the reliability of building control and other systems.
arXiv:2609.09380v1 Announce Type: cross Abstract: Unlocking the potential of tiny aerial robots requires order of magnitude improvements in the performance of embedded edge control. In particular, although recent cached model predictive control (MPC) solvers can handle the fast system dynamics and…
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.
