ModellingSelectel and ITMO JV develops multi-agent system technologies for businessspbIT · 2hDigital twinBayesian thermal digital twin for space habitat under impactarXiv API — полнотекстовый поиск "digital twin" · 3dDigital twinData-driven transient forecasting for generator digital twin decision supportarXiv API — полнотекстовый поиск "digital twin" · 2dMarket & productsKorea and Africa Discuss AI and Digital Infrastructure at KOAFECAfDB Africa Newsroom (пресс-релизная витрина) · 3dModellingSeed-Anchored Graph Rendering for QA on Power-Grid CIM/CGMES ModelsarXiv — Systems and Control (eess.SY) · 4dDigital twinDNative-Twin: Graph-Native Digital Twins for Reconstructable Agentic DecisionsarXiv API — полнотекстовый поиск "digital twin" · 3dForecastingEconomic MPC with Policy-Guided Terminal IngredientsarXiv — Systems and Control (eess.SY) · 4dForecastingKoopman-Based Robust MPC for Nonlinear Systems with Intermittent MeasurementsarXiv — Systems and Control (eess.SY) · 4dForecastingFeedback Linearized MPC for Input-Constrained Self-Driving CarsarXiv — Systems and Control (eess.SY) · 4dDigital twinDigital twin of a mouse integrating neural dynamics, biomechanics, and toucharXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinPrototype digital twin of CEBAF injector controlled via EPICSarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinMeasurement-enabled multi-layer digital twin for THz wireless data centersarXiv API — полнотекстовый поиск "digital twin" · 5d
Bayesian thermal digital twin for space habitat under impact
US & West ·
A Bayesian thermal digital twin for space habitats was developed to model impact-induced thermal anomalies. It uses a thermal resistance-capacitance network with physics-based activation functions for model selection and health estimation, enhancing resilience of life support systems.
Why it matters
Digital twins for thermal life support systems aid resilient management and adaptation to disruptions in complex environments.
A joint venture between Selectel and ITMO, Emergent Multi-Agent Systems LLC, develops technologies for creating and operating multi-agent systems. The CEO discusses managing large fleets of AI agents and their reliability and cost-effectiveness.
A calibrated surrogate model for forecasting generator transients was developed to support digital twin decision-making. The model evaluates planned load commands before application using event-conditioned Hankel-DMDc and split-conformal calibration for prediction bands, helping operators ensure voltage and frequency remain within limits.
