Digital twinDigital twin speeds up reinforcement learning for lab robotsarXiv API — полнотекстовый поиск "digital twin" · yesterdayDigital twinDataset for deciding between evidence gathering and action in control-system incidentsarXiv — Computational Engineering, Finance, and Science (cs.CE) · yesterdayDigital twinSparse stochastic twins can outperform exact digital twinsarXiv — Computational Engineering, Finance, and Science (cs.CE) · yesterdayModellingPluralism of rival models in network models of sciencearXiv — Multiagent Systems (cs.MA) · yesterdayForecastingEstimation and MPC for balancing a wheel-legged robot under unknown disturbancesarXiv — Systems and Control (eess.SY) · yesterdayDigital twinConsolidating dispersed DSO data into a digital twin of the distribution gridarXiv API — полнотекстовый поиск "digital twin" · 2dDigital twinIntegrating ML and uncertainty quantification for real-time decisions in digital twinsarXiv API — полнотекстовый поиск "digital twin" · 2dDigital twinBiases in end-to-end digital twins built from chained modelsarXiv API — полнотекстовый поиск "digital twin" · yesterdayDigital twinDistributed Bandits for Freshness-Aware Data in MEC-Enabled Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 2dModellingAn agent-based model of knowledge transfer across scientific communitiesarXiv — Multiagent Systems (cs.MA) · 2dDigital twinSemantic interoperability in federated digital twins: a systematic reviewarXiv — Systems and Control (eess.SY) · 2dDigital twinCalibrating persona-based digital twin simulation against real dataarXiv — Computers and Society (cs.CY) · 2d
Control Architecture for Fast Frequency Regulation with High Inverter-Based Resource Penetration
US & West ·
A two-layer control architecture for frequency regulation in power systems with high inverter-based generation is proposed. The primary layer uses optimized droop and Virtual Synchronous Machine control, while the secondary layer uses Model Predictive Control (MPC) integrated into existing grid control structures with constraint awareness. A reduced-order Kalman-Bucy observer estimates state and disturbances from measurable outputs.
Why it matters
The work is relevant for managing power systems with increasing renewable penetration, where fast and coordinated frequency regulation under constraints is required.
The paper combines moving horizon estimation with an offset-free, constrained MPC for sagittal balancing of a 9.95 kg wheel-legged robot. The estimator uses a virtual-leg model augmented with a hip force, a body pitch torque and a gyroscope bias, and process noise is raised when an impact is detected.