ModellingParallel branch MPC on GPUsarXiv — Systems and Control (eess.SY) · yesterdayModellingImpact of shared autonomous vehicles in microtransit: Atlanta casearXiv — Systems and Control (eess.SY) · yesterdayModellingHybrid simulation of circular supply chains in healthcarearXiv — Systems and Control (eess.SY) · yesterdayDigital twinFDF tool simplifies building AI digital twinsarXiv API — полнотекстовый поиск "digital twin" · yesterdayForecastingMPC and genetic algorithm for flying pendulum controlarXiv — Systems and Control (eess.SY) · yesterdayForecastingHybrid control architecture for safe vehicle lateral controlarXiv — Systems and Control (eess.SY) · yesterdayForecastingAdaptive MPC for ground vehicles: review and implementationarXiv — Systems and Control (eess.SY) · yesterdayDigital twinML-assisted Bayesian Calibration of Accelerator Digital TwinarXiv API — полнотекстовый поиск "digital twin" · yesterdayDigital twinDigital Twin Testbed for Cyberattack and Defense Analysis in Hospital IT/OT EnvironmentsarXiv API — полнотекстовый поиск "digital twin" · yesterdayModellingGenerative Agent-based Simulation of Mobility Policy Preferences from SurveysarXiv — Computers and Society (cs.CY) · 2dForecastingScalable Gaussian Process with Trigonometric Features for Safe MPCarXiv — Systems and Control (eess.SY) · 2dForecastingTwo-Layer MPC for Sustainable Data Centers with Workload Flexibility and Heat RecoveryarXiv — Systems and Control (eess.SY) · 2d
Link-adaptive digital twin for physical layer of optical networks
US & West ·
A link-adaptive digital twin (LA-DT) for hybrid-amplified ultra-wideband optical links is proposed. It overcomes generalization and speed limitations of existing methods, enabling accurate modeling and GSNR estimation. The modeling task is decomposed into three power predictions, and three models using a neural architecture with linear modulation layers are developed for cross-scenario generalization.
Why it matters
Improved accuracy of physical modeling of communication links is important for digital twins of telecom systems, enabling capacity optimization.
The integration of shared autonomous vehicles (SAVs) into microtransit systems, which address the last-mile problem, is investigated. The Atlanta case study shows that SAVs can improve sustainability, convenience, and reliability compared to conventional fixed-route transit.
Function+Data Flow (FDF), a visual domain-specific language for specifying and validating AI/ML pipelines used in building real-time digital twins, is presented. Implemented in DesCartes Builder, it enables composition and reuse of models. An empirical study found FDF makes AI-based twin development more accessible and reliable.
An approach combining model predictive control (MPC) and an online genetic algorithm is proposed to estimate the unknown pendulum length in a flying inverted pendulum control problem. Experiments on a real setup confirmed the accuracy and robustness of the method under various initial conditions and disturbances.
