Digital twinEco Wave Power completes first phase of AI digital twin programStreetInsider · yesterdayModellingЭрик Шмидт посоветовал основать компанию в сфере агентного ИИTechora.ru · 22hModellingA System Dynamics Model for Zero-emission Heavy Vehicle Transition in AustraliaarXiv — Computational Engineering, Finance, and Science (cs.CE) · yesterdayForecastingZonotope-Based Elastic Tube Model Predictive ControlarXiv — Systems and Control (eess.SY) · yesterdayDigital twinDBR77: Interview With Torian Richardson About Industrial AI, Digital Twins, And Manufacturing InnovationPulse 2.0 · 3dDigital twinCan Agentic AI Undermine Its Own Assurance Loop? Closed-Loop Dependency Assurance for Cognitive Network Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 3dDigital twinDigital Twin-Assisted Fast Beam Alignment for mmWave MIMO NetworksarXiv API — полнотекстовый поиск "digital twin" · 3dDigital twinA Reproducible Reconstruction and Evaluation Framework for Photorealistic Lunar Analog Scene Reconstruction Toward Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 3dDigital twinPhysics-Based Blood Pressure Digital Twin Fails Rigorous Stress TestBioengineer.org · 5dDigital twinMarket Forecast for Data Center Digital Twin O&M SystemsopenPR.com · 5dDigital twinAVEVA to Present Industrial AI and Digital Twins at ADIPEC 2026Gulf Daily News (Bahrain) · 6dDigital twinSchneider Electric and partners test AI factory digital twin in SinesData Centre Solutions · 6d

Higher-Order Approximation of Exit Functionals in Sampling-Based Stochastic Model Predictive Control

US & West · 23 Sept

arXiv:2609.25257v1 Announce Type: new Abstract: Safety evaluation in sampling-based stochastic model predictive control often requires numerical estimation of exit functionals. The approximation of first-exit times and exit indicators is therefore a key numerical bottleneck, and discretization…

Original headline: Higher-Order Approximation of Exit Functionals in Sampling-Based Stochastic Model Predictive Control

Read the original: arXiv — Systems and Control (eess.SY)

Translation and summary are machine-generated from the source. The full article is not republished; its rights belong to the source.

Higher-Order Approximation of Exit Functionals in Sampling-Based Stochastic Model Predictive Control

Related

Эрик Шмидт посоветовал основать компанию в сфере агентного ИИ

A System Dynamics Model for Zero-emission Heavy Vehicle Transition in Australia

От языка к действию: как устроены агентные ИИ‑системы