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
High-Fidelity Digital Twin Data Models by Randomized Dynamic Mode Decomposition and Deep Learning with Applications in Fluid Dynamics
US & West ·
The purpose of this paper is the identification of high-fidelity digital twin data models from numerical code outputs by non-intrusive techniques (i.e., not requiring Galerkin projection of the governing equations onto the reduced modes basis).
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.
