Digital twinSchneider Electric, AVEVA, Nscale and Start Campus pilot AI digital twinEngineering.com · 3dDigital twinLarge Language Models Meet Bayesian Optimization: Towards Self-evolving Wireless Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 3dModellingJaxMARL-BC: Multi-Agent Reinforcement Learning for Macroeconomic Modelling, in SecondsarXiv — General Economics (econ.GN) · 3dDigital twinDigital Twins of Networked Dynamical Systems: Machine Learning Prediction of Synchronization Transitions in Coupled Chaotic OscillatorsarXiv API — полнотекстовый поиск "digital twin" · 3dDigital twinEvaluating Type-1 Diabetes Digital Twins by Decision QualityarXiv API — полнотекстовый поиск "digital twin" · 3dForecastingCertified Neural Approximation of Robust Nonlinear Model Predictive ControlarXiv — Systems and Control (eess.SY) · 3dForecastingIntegrating Flow Matching and Model Predictive Control for Safe Robot NavigationarXiv — Systems and Control (eess.SY) · 3dForecastingRegion of Attraction Estimation for Linear Quadratic Regulator, Linear and Robust Model Predictive Control on a Two-Wheeled Inverted PendulumarXiv — Systems and Control (eess.SY) · 3dDigital twinVivix Executable Digital Twin for Float GlassSnowflake · 3dDigital twinMicrostructural Generative Inverse Models for Additive Manufacturing Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 3dModellingCorporate AI in Russia: the bet on agent platformsTAdviser (Telegram) · 4dModellingCorporate AI in Russia: market growth amid unfinished pilotsTAdviser · 4d
Quantifying Heterogeneous Grid-Forming Device Impacts on Power System Dynamics
US & West ·
A decentralized and scalable stability analysis method is proposed for power systems with GFM and GFL converters. Using Davis-Wielandt shells, the impact of heterogeneous GFM integration on system dynamics and stability is analytically derived.
Why it matters
The method enables assessing the impact of new equipment types on large power system stability, crucial for control and planning.
arXiv:2610.28907v1 Announce Type: cross Abstract: Multi-agent reinforcement learning (MARL) offers a principled way of populating simulated economies with many heterogeneous decision makers.
arXiv:2610.29559v1 Announce Type: new Abstract: Model predictive control is a high-performance control method, but it incurs comparatively high online computational costs across many control tasks and is challenging to realize in low-level hardware settings.
arXiv:2604.04455v3 Announce Type: replace Abstract: Nonlinear underactuated systems such as two-wheeled inverted pendulums (TWIPs) exhibit a limited region of attraction (RoA), which defines the set of initial conditions from which the closed-loop system converges to the equilibrium.
