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.
227 items
Военкор Александр Коц сообщил, что боевой искусственный интеллект Palantir, используемый ВСУ для наведения беспилотников, мог получить доступ к данным о привычках каждого россиянина.
Digital twin simulation models are evolved and redeployed like software, yet DEVS-based engines offer a sound formal basis with little support for versioning, automated validation, or continuous delivery in cloud-native environments, leaving model lifecycle management ad hoc in most deployments.
arXiv:2609.09380v1 Announce Type: cross Abstract: Unlocking the potential of tiny aerial robots requires order of magnitude improvements in the performance of embedded edge control. In particular, although recent cached model predictive control (MPC) solvers can handle the fast system dynamics and…
arXiv:2512.13229v2 Announce Type: replace Abstract: As cyber-physical systems (CPSs) become more dependent on data and communication networks, their vulnerability to false data injection (FDI) attacks has raised significant concerns.
arXiv:2609.09236v1 Announce Type: new Abstract: A latent space network model places the nodes in a metric space and lets the probability of a tie decrease with distance. In a space of constant curvature, pairwise distances determine the positions up to an isometry.
arXiv:2506.22406v3 Announce Type: replace Abstract: Economic Model Predictive Control (EMPC) optimizes economic performance over a prediction horizon rather than stabilizing to a reference, making it attractive for microgrid (MG) dispatch.
Компания «Актив» завершила работу над итоговым документом по результатам форсайт-сессии «Будущее безопасности киберфизических систем в России. Перспективы и векторы развития», которая прошла в Москве в марте 2025 года.
Palantir больше не раскрывает общее число клиентов. Во втором квартале 2026 года компания представила новую метрику — совокупную стоимость контрактов (total contract value). Руководство считает, что она точнее отражает характер бизнеса.
ИИ‑агенты получают доступ к данным и инструментам, но вместе с автономностью появляются новые риски. Разбираем, как работают атаки на агентные системы — от промпт‑инъекций до отравления данных — и какие подходы помогают защитить ИИ‑системы. Разобрать угрозы
Digital twins of bridges rely on physics-based models to infer full-field structural responses from sparse monitoring data. The reliability of these predictions depends on the calibration of model parameters while accounting for discrepancies between the model and the physical system.
arXiv:2609.07433v1 Announce Type: new Abstract: This paper proposes an end-to-end generative framework for efficiently solving multi-period and multi-scenario stochastic model predictive control (SMPC) problems under nonlinear AC power-flow constraints.
arXiv:2609.05763v1 Announce Type: new Abstract: Decarbonising the building sector is central to meeting climate targets, yet existing models rarely capture the interaction between system-level transformation dynamics and heterogeneous individual investment decisions.
arXiv:2609.06636v1 Announce Type: new Abstract: Fine-grained mobile traffic demand forecasting is essential for long-term planning of 5G and future 6G networks, including radio upgrades, site densification, backhaul expansion, and spectrum activation.
arXiv:2609.06698v1 Announce Type: new Abstract: For energy-efficient building control, model predictive control (MPC) has been widely proposed to reduce energy use while maintaining prescribed indoor temperature bounds.
arXiv:2609.08008v1 Announce Type: new Abstract: Cell-to-cell electrical and thermal variations produce nonuniform state of charge (SoC) and temperature distributions in lithium-ion battery packs.
arXiv:2609.08708v1 Announce Type: new Abstract: Hydronic radiator systems are among the most widely used heating systems in buildings. In the literature, radiator heat outputs are often assumed to be independent of one another and arbitrarily adjustable in time when designing controllers.
arXiv:2609.08836v1 Announce Type: new Abstract: Certainty-equivalence model predictive control (CE-MPC) is widely used for its simplicity and efficiency, but theoretical guarantees under asynchronous feedback remain limited.
arXiv:2609.06656v1 Announce Type: cross Abstract: Modern power systems are growing increasingly complex as they integrate diverse generation sources to meet rising demand, making accurate load forecasting challenging.
arXiv:2509.22422v2 Announce Type: replace-cross Abstract: This paper proposes a computationally lightweight, continuous-time receding-horizon nonlinear model predictive control (MPC) approach with infinitesimal prediction horizon.
arXiv:2607.12775v2 Announce Type: replace-cross Abstract: Scenario-based model predictive control (SBMPC) is a variant of model predictive control (MPC) that explicitly accounts for uncertainty by optimizing control actions over multiple predicted scenarios.
As Digital Twin (DT) systems evolve beyond state synchronization toward task-oriented and knowledge-driven operation, Cognitive Digital Twins (CDTs) have emerged as an extension that incorporates cognitive capabilities into twin operation.
Rapid bespoke commissioning of the Cognitive Digital Twin (CDT) is a major challenge in reconfigurable manufacturing. Traditional digital twin (DT) construction methods primarily focus on geometric reconstruction, often neglecting the deep semantic integration and functional interoperability…
A cyber-physical system is presented for programming, supervision, training, and teleoperation of robot-assisted finishing of metal additive-manufactured parts. A digital twin built in Unity is delivered as a WebGL app supporting desktop and WebXR modes, exchanging robot state and pose commands with a collaborative robot via MQTT. The twin enforces kinematic and collision constraints before releasing poses and augments the virtual component with a color map of surface topography to support operator decisions.
An action-conditioned world-modeling framework for Earth-system emulation is proposed, allowing users to specify interventions and explore system responses. It reformulates simulator trajectories as supervision for controllable state-transition learning, going beyond passive forecasting. This is relevant for interactive scientific workflows and Earth-system digital twins.
