Digital twinModel-Free Generative Stealthy Attacks on Safety-Critical Vehicle Cyber-Physical SystemsarXiv — Systems and Control (eess.SY) · yesterdayDigital twinSchneider Electric, AVEVA, Nscale and Start Campus pilot AI digital twinEngineering.com · 4dDigital twinLarge Language Models Meet Bayesian Optimization: Towards Self-evolving Wireless Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 4dModellingJaxMARL-BC: Multi-Agent Reinforcement Learning for Macroeconomic Modelling, in SecondsarXiv — General Economics (econ.GN) · 5dDigital twinDigital Twins of Networked Dynamical Systems: Machine Learning Prediction of Synchronization Transitions in Coupled Chaotic OscillatorsarXiv API — полнотекстовый поиск "digital twin" · 5dDigital twinEvaluating Type-1 Diabetes Digital Twins by Decision QualityarXiv API — полнотекстовый поиск "digital twin" · 5dForecastingCertified Neural Approximation of Robust Nonlinear Model Predictive ControlarXiv — Systems and Control (eess.SY) · 5dForecastingIntegrating Flow Matching and Model Predictive Control for Safe Robot NavigationarXiv — Systems and Control (eess.SY) · 5dForecastingRegion of Attraction Estimation for Linear Quadratic Regulator, Linear and Robust Model Predictive Control on a Two-Wheeled Inverted PendulumarXiv — Systems and Control (eess.SY) · 5dDigital twinVivix Executable Digital Twin for Float GlassSnowflake · 5dDigital twinMicrostructural Generative Inverse Models for Additive Manufacturing Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 5dModellingCorporate AI in Russia: the bet on agent platformsTAdviser (Telegram) · 6d
A Unified Framework for Robust Data-Driven MPC with Terminal Ingredients
US & West ·
Using Willems' fundamental lemma, a single offline input-output trajectory serves as an implicit model of a linear time-invariant system, with online operation needing only past measurements. Bounded measurement noise is handled in both stages, and recursive feasibility plus practical exponential stability are established.
Why it matters
It shows how to control and predict from data without explicit model identification while retaining stability guarantees — central for digital twins driven by measurements rather than full plant descriptions.
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:2610.29377v1 Announce Type: cross Abstract: Learning-based path planners based on diffusion and flow matching can generate diverse trajectories from demonstrations but typically lack mechanisms for constraint satisfaction and collision avoidance during deployment.
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.
