ModellingEnhanced Imitation Learning of Model Predictive Control through Importance WeightingarXiv — Systems and Control (eess.SY) · 3dModellingLimited knowledge exchange across biological subfields in agent-based modellingarXiv — Physics and Society (physics.soc-ph) · 3dDigital twinReasoner-checked ontology crosswalks for a national digital twinarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinDigital twin speeds up reinforcement learning for lab robotsarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinDataset for deciding between evidence gathering and action in control-system incidentsarXiv — Computational Engineering, Finance, and Science (cs.CE) · 4dDigital twinSparse stochastic twins can outperform exact digital twinsarXiv — Computational Engineering, Finance, and Science (cs.CE) · 4dModellingPluralism of rival models in network models of sciencearXiv — Multiagent Systems (cs.MA) · 4dForecastingEstimation and MPC for balancing a wheel-legged robot under unknown disturbancesarXiv — Systems and Control (eess.SY) · 4dDigital twinConsolidating dispersed DSO data into a digital twin of the distribution gridarXiv API — полнотекстовый поиск "digital twin" · 5dDigital twinIntegrating ML and uncertainty quantification for real-time decisions in digital twinsarXiv API — полнотекстовый поиск "digital twin" · 5dDigital twinBiases in end-to-end digital twins built from chained modelsarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinDistributed Bandits for Freshness-Aware Data in MEC-Enabled Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 5d
MPC and genetic algorithm for flying pendulum control
US & West ·
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.
Why it matters
Demonstrates real-time adaptation of MPC to uncertain parameters, which is important for robust control in complex dynamic systems.
arXiv:2611.06622v1 Announce Type: new Abstract: The approximation of model predictive control (MPC) algorithms with neural network models has received significant attention in the power electronics research community, as a valuable tool to enable the real-time implementation of computationally…
The work defines a formal criterion for valid mappings between digital twin ontologies: coherence and conservativity of the merged ontology. It is applied to the Information Exchange Standard and thirteen ontologies anchored on BOT, Brick and SAREF4BLDG, through matching, human review, certification and reasoning with HermiT.
The authors present TE-GvA, a counterfactual decision dataset for fault-driven incident response on the revised Tennessee Eastman process: 9,908 decision points from 1,990 simulated incidents, each with 4–35 candidate actions labelled via branched rollouts. With labels computed under the true hidden cause, gathering evidence is the best choice in only 1.1–1.3% of decisions.
