Digital twinChameleon: Recovering Cyber-Physical Systems from Memory Corruption Attacks via ML SurrogatesarXiv — Systems and Control (eess.SY) · yesterdayMarket & productsPalantir объявила о новых альянсах с NVIDIA и Fujitsu для ИИ и кибербезопасностиTechora.ru · yesterdayForecastingFiring Rate Neural Network Implementations of Model Predictive ControlarXiv — Systems and Control (eess.SY) · yesterdayDigital twinModel-Free Control for Residential Heating: Deployment and Simulation of Nonlinear Data-Enabled Predictive ControlarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinForceTwin: Physics-informed Digital Twins for Robotic Manipulation from Instrumented Human InteractionarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinОпубликованы итоги форсайт-сессии «Будущее безопасности киберфизических систем в России. Перспективы и векторы развития»spbIT · 4dMarket & productsДмитриев оценил новый имидж главы PalantirТАСС · 4dMarket & productsPalantir и Rocket Lab: +30 и +34 позиции в рейтинге Roundtable 100Techora.ru · 4dMarket & productsChipotle наняла связанную с ЦРУ Palantir для оценки рисковTechora.ru · 4dModelling«Группа Астра» вывела на рынок AMAIA — агентный ИИ-слой платформы «Астра Мониторинг»CNews · 5dModellingModelling sexual partnership dynamics and population heterogeneities in agent-based dynamic network modelsarXiv — Physics and Society (physics.soc-ph) · 5dForecastingComposite-Gradient Learning for Shared Control Authority Between Deep Reinforcement Learning and Model Predictive ControlarXiv — Systems and Control (eess.SY) · 5d
Seoul National University Uses VABS for Air Mobility Digital Twins
International ·
Researchers at Seoul National University apply VABS (Variational Asymptotic Beam Section) simulation in air mobility and digital twin projects. VABS aids in modeling composite structures, which is crucial for accurately predicting aircraft performance.
Why it matters
Accurate material modeling in digital twins improves reliability of predictions for complex engineering systems.
arXiv:2607.01356v2 Announce Type: replace-cross Abstract: Cyber-physical systems (CPSs) can be compromised through memory corruption vulnerabilities, which can result in safety violations.
Residential heating accounts for a large share of building energy use, and predictive control strategies can reduce it by anticipating rather than reacting to the room temperature alone.
Manipulating objects requires understanding not only their motion, but also the physical properties that determine it. For articulated objects, these include inertia, friction, and mechanisms such as springs or door closers, whose effects can vary with configuration and velocity.
