ModellingSurrogate Modeling of Interconnector Flows: A Machine Learning Alternative to Full-Scale Power System Simulations with Application to Cross-Border Electricity ExchangearXiv — Systems and Control (eess.SY) · 3dModellingИнвестфонд Munro Partners назвал Arm Holdings бенефициаром агентного ИИTechora.ru · 2dDigital twinManufaqtury запустила цифровой двойник бизнес-центра в платформе «Призма»CNews · 3dForecastingComputationally Tractable Robust Nonlinear Model Predictive Control using DC ProgrammingarXiv — Systems and Control (eess.SY) · 3dForecastingFairness Theatre: Evaluating Post-Hoc Fairness Interventions in Vendor-Controlled Early Warning SystemsarXiv — Computers and Society (cs.CY) · 3dDigital twinJacobs Deploys Data Center Digital Twin For NVIDIA?s R&D Facilitymarketscreener.com · 3dModellingExploring Causal Mechanisms with Generative Agent-Based ModelsarXiv — Multiagent Systems (cs.MA) · 4dDigital twinAttributing Sensor Deviations to Degradation, Weather, or Attack in Oilfield Digital Twins: A Simulation Study of Probabilistic Attribution and Cost-Based DecisionsarXiv — Systems and Control (eess.SY) · 4dModellingTowards Input-Convex Neural Network Modeling for Battery Optimization in Power SystemsarXiv — Systems and Control (eess.SY) · 4dForecastingVariable-Horizon Model Predictive Control for Switched SystemsarXiv — Systems and Control (eess.SY) · 4dForecastingSelective Elicitation as a Commercial Influence Channel: A Reproducible Synthetic Shopping-Agent Stress TestarXiv — Computers and Society (cs.CY) · 4dDigital twinData Center Arc-Flash Risk Digital Twin Software Market to ReachopenPR.com · 5d
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.
Инвестиционная компания Munro Partners в своем комментарии за второй квартал 2026 года назвала Arm Holdings plc (NASDAQ:ARM) одним из ключевых бенефициаров развития агентного искусственного интеллекта.
arXiv:2606.03475v2 Announce Type: replace Abstract: Cross-border electricity exchanges are crucial for operating and planning highly renewable power systems. Many studies reduce spatial granularity to keep models tractable and prescribe cross-border exchanges exogenously, often by reusing…
arXiv:2602.01164v2 Announce Type: replace-cross Abstract: We propose a computationally tractable, tube-based robust nonlinear model predictive control (MPC) framework using difference-of-convex (DC) functions and sequential convex programming.
arXiv:2609.38552v1 Announce Type: cross Abstract: Public institutions increasingly procure AI systems whose design they cannot inspect or change. In higher education, proprietary Early Warning Systems (EWS) leave colleges with few options beyond adjusting model outputs to address inequity.
arXiv:2609.35819v1 Announce Type: new Abstract: In this paper, we explore using generative agent-based models for a classical ABM application: testing how individual-level behavioral rules produce collective phenomena.
arXiv:2609.31973v1 Announce Type: cross Abstract: When an oilfield digital twin disagrees with its instruments, the operator must decide whether the cause is hardware degradation, harsh-weather effects, or malicious data manipulation.
arXiv:2410.09166v2 Announce Type: replace Abstract: Battery energy storage systems (BESS) play an increasingly vital role in integrating renewable generation into power grids due to their ability to dynamically balance supply.
arXiv:2609.29100v2 Announce Type: replace Abstract: This paper investigates model predictive control (MPC) for switched systems subject to control and state constraints. A variable-horizon switched MPC approach is proposed.
arXiv:2609.36614v1 Announce Type: cross Abstract: A commercial incentive need not enter the final ranking algorithm to affect a shopping assistant's recommendation: it may instead influence which preference question the assistant asks.
arXiv:2501.05815v2 Announce Type: replace Abstract: This paper introduces a novel nonlinear model predictive control (NMPC) framework that incorporates a lifting technique to enhance control performance for nonlinear systems.
arXiv:2607.19639v2 Announce Type: replace-cross Abstract: Motivated by stochastic model predictive control applications, we develop a semialgebraic framework for constraint tightening in chance-constrained systems with unbounded additive disturbances and saturated inputs.
arXiv:2609.31623v1 Announce Type: new Abstract: Smart city and digital twin concepts hold considerable potential for improving local governance and planning, yet practical implementations have almost exclusively focused on large metropolitan areas.
arXiv:2609.33795v1 Announce Type: new Abstract: Hydrogen-diesel dual-fuel (H2DF) combustion engines offer a promising pathway for decarbonising hard-to-electrify transport sectors, yet their highly nonlinear dynamics and coupled process variables demand constraint-aware control strategies.
arXiv:2609.34109v1 Announce Type: new Abstract: This paper develops an integrated modeling and nonlinear model predictive control (NMPC) framework for coordinating thermal management, flexible workload scheduling, wave-power utilization, and battery operation in a wave-powered subsea data center.
arXiv:2603.09617v2 Announce Type: replace Abstract: Existing results on finite-time model predictive control (MPC) often rely on terminal equality constraint, switching inside one-step region, or terminal cost with short control horizon, leading to limited initial feasibility.
Аналитики считают, что основным драйвером ИТ-потребления в области жилищно-коммунального хозяйства станет необходимость соблюдения регулирующих правил и сокращения издержек.
arXiv:2609.30269v1 Announce Type: new Abstract: Why does a superior technology sometimes spread and sometimes stall, even when its expected returns are much higher? We develop an agent-based model in which firms adopt a digital technology by imitating successful neighbours through a fast-and-frugal…
arXiv:2609.30534v1 Announce Type: new Abstract: Configuration-induced perturbations in SRAM-based FPGAs may activate dormant programmable routing branches and increase path delay without immediately producing a functional error.
arXiv:2609.31259v1 Announce Type: new Abstract: Digital twins are increasingly used in diabetes research, but reproducing individual glucose dynamics requires accurate identification of glucoregulatory model parameters.
arXiv:2609.30655v1 Announce Type: new Abstract: This paper studies constraint certification in synchronous distributed model predictive control (DMPC) when neighboring predictions change between sampling instants.
arXiv:2604.05904v2 Announce Type: replace Abstract: Gray-box RC models are widely used to enable energy-efficient model predictive control (MPC) in buildings. However, estimating RC parameters remains difficult, as conventional optimization-based algorithms are prone to local minima, rely heavily…