ModellingНобелевскую премию по экономике 2026 года присудили за макроэкономические исследованияNaked Science · 18hModellingA Multi-Agent LLM System for Automated Tuning of Specialized Neural Network ModelsarXiv — Multiagent Systems (cs.MA) · yesterdayModellingMinimum Bounding Sets for N-1-1 Branch Contingencies Under Thermal and Voltage Limits in Linear Network ModelsarXiv — Systems and Control (eess.SY) · yesterdayEnergySecFD-FL: Frequency-Decoupled Federated Learning with Secure Aggregation for Charging Load Forecasting in Internet of Electric VehiclesarXiv — Systems and Control (eess.SY) · yesterdayForecastingA Fully Analog Implementation of Model Predictive Control with Application to Buck ConvertersarXiv — Systems and Control (eess.SY) · yesterdayForecastingKoopman-Based Nonlinear Identification and Model Predictive Control of a Turbofan EnginearXiv — Systems and Control (eess.SY) · yesterdayDigital twinВ Северной Осетии внедряют цифровой двойник Владикавказа и умные камерыTechora.ru · yesterdayModellingАгентный поиск на open-source моделях: кого нашёл, сколько потратил и где всё сломалосьХабр · yesterdayDigital twinA Ray-Traced Digital Twin for 5G NR Positioning with OpenAirInterfacearXiv API — полнотекстовый поиск "digital twin" · 3dDigital twinDigital Twin for Pre-Deployment Validation of AI-Driven Safety-Critical Industrial Edge Control LoopsarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinLeveraging Human-In-The-Loop Demonstrations in Reinforcement Learning for Digital Twin-Driven Robot FlexibilityarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinLIVIN: Benchmarking Spatial and Embodied Intelligence in Digital Twins of Lived-In HomesarXiv API — полнотекстовый поиск "digital twin" · 4d
What is happening worldwide in digital twins, mathematical modelling and the management of large-scale systems: research, press releases, product news. From the US, China, ASEAN and Africa — translated and summarised.
Нобелевский комитет при Шведской королевской академии наук объявил имена лауреатов премии Государственного банка Швеции по экономическим наукам памяти Альфреда Нобеля. Ими стали американцы Роберт Э. Холл и Майкл Вудфорд.
arXiv:2610.13663v1 Announce Type: cross Abstract: Many machine learning approaches are two-level: an expert selects a class of methods, within this class the choice of key components is critical and usually manual.
arXiv:2610.12606v1 Announce Type: new Abstract: N-1-1 contingency analysis studies the loss of one element followed by system adjustments and the loss of a second. The number of contingency pairs increases quadratically with the number of applicable elements, and traditional ranking-based screening…
arXiv:2610.12909v1 Announce Type: new Abstract: Accurate charging load forecasting is essential for the reliability and efficiency of the Internet of Electric Vehicles (IoEV), yet it is challenging on two fronts: charging demand is highly stochastic, and the data collected by distributed sensors is…
arXiv:2509.05463v3 Announce Type: replace Abstract: This paper proposes a novel approach to design analog electronic circuits that implement Model Predictive Control (MPC) policies for dynamical systems described by affine models.
arXiv:2604.01730v3 Announce Type: replace-cross Abstract: This paper investigates Koopman operator-based approaches for multivariable control of a two-spool turbofan engine. A physics-based component-level model is developed to generate training data and validate the controllers.
В Северной Осетии активно внедряют умные технологии для контроля дорожной сети. Камеры фиксируют нарушения, на трассах работают пункты весогабаритного контроля, а во Владикавказе создаётся цифровой двойник города. Пассажиры смогут отслеживать движение трамваев в приложении.
У меня давно была одна идея: хочу сделать свой агентный поиск на открытых моделях и со своим контролем над источниками. Не чтобы сэкономить на подписке, а скорее понять: какой минимум (технологического стека) нужен, чтобы агент нашел конкретную информацию, с проверяемым источником и не выдумал…
Evaluating 5G positioning on a physical testbed ties every measurement to one propagation environment and one antenna layout, so any question about an alternative deployment requires a new field campaign.
Growing automation makes collaborative robots work in more variable environments, increasing the need for adaptation. We propose a human-in-the-loop online training framework combining a digital twin (DT), reinforcement learning (RL), and human demonstrations.
Realistic household simulation must capture not only diverse environments but also the lived-in object arrangements and spatial constraints that shape robot motion and interaction. Existing resources often trade off scale, real-world correspondence, and interaction readiness, leaving a gap in…
Industrial environments are increasingly characterized by the tight interaction among physical processes, communication infrastructures, and intelligent applications. In this context, Digital Twins (DTs) have emerged as a key technology for system analysis and optimization.
arXiv:2610.09888v2 Announce Type: new Abstract: We develop a hybrid pore-network model (PNM) for discrete microbubble transport coupled to connected two-phase flow in porous media. We apply the model to simulate flow in the porous transport layer of a rotating proton exchange membrane (PEM)…
arXiv:2308.00505v4 Announce Type: replace-cross Abstract: Agent Based Models (ABMs) often deal with systems where there is a lack of quantitative data or where quantitative data alone may be insufficient to fully capture the complexities of real-world systems.
arXiv:2610.09789v1 Announce Type: new Abstract: Cooperative behavior can improve environmental quality, whereas selfish defection can degrade shared resources. In a recent agent-based study of the Aksum civilization (Vasellini et al., 2025), a population of agents moving over a reconstructed…
A ruleless digital twin approach is proposed where decisions are generated automatically from purely declarative user specifications instead of hand-written rules. This reduces the complexity of building and maintaining twins under dynamically changing conditions such as weather or dynamic energy pricing.
The PCDT framework closes the loop from network observation to predictive cognition and proactive resource control. Unlike reactive twins that act after performance risk appears, it aims to pre-empt degradation.
A calibration and control method is developed for a multiscale bioprocess digital twin using sparse observations, quasi-likelihood estimation and adjoint sensitivity analysis. Parameter uncertainty then feeds into policy optimization and adaptive experiment design.
arXiv:2608.04265v2 Announce Type: replace Abstract: LLM-agent evaluations commonly measure task success or agreement with a declared plan. In strategic cyber-physical systems, an architecture must also remain appropriate after autonomous participants respond and physics constrains outcomes.
arXiv:2610.06976v1 Announce Type: new Abstract: Safety-critical Model Predictive Control (MPC) formulations based on Control Barrier Functions (CBFs) often require multiple tuning parameters and may become conservative or difficult to keep feasible, particularly for high-relative-degree…
arXiv:2610.07232v1 Announce Type: cross Abstract: Accurate short-term load forecasting (STLF) is essential for the reliable and efficient operation of modern power systems. While time series foundation models (TSFMs) have recently demonstrated remarkable performance across a wide range of…
A gateway admits an update to a twin's persistent state only after provenance, contradiction and namespace checks pass. Evaluation covers three attack families over 20 seeded splits of a semi-synthetic stream derived from the open eICU database, with roughly 29,000 candidate updates per seed.