Digital twinDe-Risking Robotic Welding for In-Space Metal Joining Through Physics-Grounded Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · yesterdayModellingSequential Learning-Based Physics-Informed Neural Network Modeling for Parameter Estimation on a Power ConverterarXiv — Systems and Control (eess.SY) · yesterdayModellingAdaptive Handling of Deadline Misses via Stochastic MPCarXiv — Systems and Control (eess.SY) · 2dModellingInstitutionalizing Trust in Data Exchange: Trust-Anchor Model of the Data Credit Guarantee Organization and Its Simulation-Based ComparisonarXiv — Computers and Society (cs.CY) · 2dDigital twinDigital Twin-Conditioned RSS-Fingerprint Localization in Cell-Free Millimeter-Wave NetworksarXiv API — полнотекстовый поиск "digital twin" · yesterdayModellingAI уже делает инженеров хуже? Как агентная разработка выращивает технологический зоопаркХабр · yesterdayDigital twinFeasibility of a Patient-Specific Digital Twin for Ventriculoperitoneal Shunt Trajectory PlanningarXiv API — полнотекстовый поиск "digital twin" · 2dModellingBayesian Optimization under Uncertainty for Training a Scale Parameter in Stochastic ModelsarXiv — Computational Engineering, Finance, and Science (cs.CE) · 2dDigital twinDecision-Making in Digital Twins: Optimization, Control, and LearningarXiv — Systems and Control (eess.SY) · 2dDigital twinBALLAST: Physics-Aware Moving Target Defense for Industrial Control Systems Using a Digital Twin Safety OraclearXiv — Systems and Control (eess.SY) · 2dDigital twinОпубликованы итоги форсайт-сессии «Будущее безопасности киберфизических систем в России. Перспективы и векторы развития»spbIT · 2dDigital twinProbabilistic Physics Digital Twin for Human-Robot InteractionarXiv API — полнотекстовый поиск "digital twin" · 2d
Control Architecture for Fast Frequency Regulation with High Inverter-Based Resource Penetration
US & West ·
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.
Why it matters
The work is relevant for managing power systems with increasing renewable penetration, where fast and coordinated frequency regulation under constraints is required.
arXiv:2610.18400v1 Announce Type: new Abstract: Data trading markets that span industries and regions are expanding, but the implicit trust that supports data use within an organization does not carry over to cross-domain exchange.
Digital twins (DTs) can generate dense synthetic fingerprints for localization via ray tracing, yet the sim-to-real domain gap limits their direct use, particularly in cell-free millimeter-wave (mmWave) deployments where distributed geometries and blockage-induced sparsity widen the mismatch.
arXiv:2610.17274v1 Announce Type: new Abstract: Model reduction can substantially reduce the computational burden of model predictive control (MPC) for high-dimensional systems, but a reduced dimension chosen for performance may be insufficient for safety-critical operation.
