ModellingEnhanced Imitation Learning of Model Predictive Control through Importance WeightingarXiv — Systems and Control (eess.SY) · 3dModellingLimited knowledge exchange across biological subfields in agent-based modellingarXiv — Physics and Society (physics.soc-ph) · 3dDigital twinReasoner-checked ontology crosswalks for a national digital twinarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinDigital twin speeds up reinforcement learning for lab robotsarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinDataset for deciding between evidence gathering and action in control-system incidentsarXiv — Computational Engineering, Finance, and Science (cs.CE) · 4dDigital twinSparse stochastic twins can outperform exact digital twinsarXiv — Computational Engineering, Finance, and Science (cs.CE) · 4dModellingPluralism of rival models in network models of sciencearXiv — Multiagent Systems (cs.MA) · 4dForecastingEstimation and MPC for balancing a wheel-legged robot under unknown disturbancesarXiv — Systems and Control (eess.SY) · 4dDigital twinConsolidating dispersed DSO data into a digital twin of the distribution gridarXiv API — полнотекстовый поиск "digital twin" · 5dDigital twinIntegrating ML and uncertainty quantification for real-time decisions in digital twinsarXiv API — полнотекстовый поиск "digital twin" · 5dDigital twinBiases in end-to-end digital twins built from chained modelsarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinDistributed Bandits for Freshness-Aware Data in MEC-Enabled Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 5d
HalifaxDT: A Wireless Digital Twin from Open Geospatial Data
US & West ·
HalifaxDT, a wireless digital twin of the Halifax Peninsula, is built from heterogeneous open geospatial and spectrum data. The workflow reconciles multiple sources of building-height information while preserving provenance, and integrates terrain, buildings, and gateway metadata into Sionna RT for wireless simulation. It is evaluated through two use cases.
Why it matters
This example of using open data to create urban wireless twins is significant for planning future networks and managing urban infrastructure.
arXiv:2611.06622v1 Announce Type: new Abstract: The approximation of model predictive control (MPC) algorithms with neural network models has received significant attention in the power electronics research community, as a valuable tool to enable the real-time implementation of computationally…
The work defines a formal criterion for valid mappings between digital twin ontologies: coherence and conservativity of the merged ontology. It is applied to the Information Exchange Standard and thirteen ontologies anchored on BOT, Brick and SAREF4BLDG, through matching, human review, certification and reasoning with HermiT.
TwinBridge builds digital twins from 3D Gaussian splatting and physics simulation to supply policy initialization and dense visual rewards for real-world online learning of a laboratory robot. Simulator task events and geometric progress yield rewards for pretraining, distilled into a visual reward model and combined with execution history during human-in-the-loop refinement.
