Digital twinDigital Twin Degradation: Detecting Cyber Physical Attacks via Temporal InconsistenciesarXiv API — полнотекстовый поиск "digital twin" · 22hForecastingControl Architecture for Fast Frequency Regulation with High Inverter-Based Resource PenetrationarXiv — Systems and Control (eess.SY) · yesterdayDigital twinPRISM: Decision-Centric Predictive Sensing for Cognitive Digital Twins in 6GarXiv API — полнотекстовый поиск "digital twin" · 21hModellingNeural Network-Based Parameter Estimation for a Labour Market ABMarXiv — Multiagent Systems (cs.MA) · yesterdayForecastingMeteorology-Driven Causal Nowcasting of Landfill Fugitive Emissions for Proactive Public HealtharXiv — Computers and Society (cs.CY) · yesterdayDigital twinPalantir-Powered Digital Twin May Reshape Mercury Systems' Investment Casesimplywall.st · 2dDigital twinTowards a physics-informed multiscale digital twin for precision medicine in Alzheimer's diseasearXiv API — полнотекстовый поиск "digital twin" · 2dDigital twinA Physiology-Informed Digital Twin Framework for Simulating Liver Health ProgressionarXiv API — полнотекстовый поиск "digital twin" · 3dDigital twinGround-Truth-Aware Stress Testing of a Closed-Loop Smart-Building Digital Twin Under Sensor Drift and Missing DataarXiv API — полнотекстовый поиск "digital twin" · 3dDigital twinTwin: Playing an Unknown Game with a Test-Time Digital TwinarXiv API — полнотекстовый поиск "digital twin" · 3dModellingLamacon and Focus Group Combine Expertise in Optimization and Simulation ModelingCNews · 4dDigital twinEfficient Surrogate-Assisted Electromagnetic Parameter Calibration for 6G Digital Twin ChannelsarXiv API — полнотекстовый поиск "digital twin" · 4d
Ground-Truth-Aware Stress Testing of a Closed-Loop Smart-Building Digital Twin Under Sensor Drift and Missing Data
US & West ·
A simulation framework evaluates how sensor errors affect smart-building control. It separates physical state from corrupted sensing and compares data-driven policies with an oracle controller in a 20-zone twin over 30 days.
Why it matters
Understanding the impact of data quality on control is important for the reliability of digital twins of buildings and cities.
A method detects cyber-physical attacks by monitoring temporal inconsistencies between a physical system and its digital twin. A predictor trained on normal behavior generates multi-horizon features from residuals to flag anomalies.
A two-layer control architecture for frequency regulation in power systems with high inverter-based generation is proposed. The primary layer uses optimized droop and Virtual Synchronous Machine control, while the secondary layer uses Model Predictive Control (MPC) integrated into existing grid control structures with constraint awareness. A reduced-order Kalman-Bucy observer estimates state and disturbances from measurable outputs.
A PRISM engine is proposed that transforms a digital twin from a passive single-task optimizer into a persistent network-wide reasoning system. It directs sensing toward anticipated decision needs rather than following fixed schedules, enabling multi-domain knowledge accumulation.
