Digital twinHybrid Edge-Cloud Digital Twin for Poultry ControlarXiv — Systems and Control (eess.SY) · yesterdayModellingShared Control Between DRL and MPC for Multi-Class Transport NetworksarXiv — Systems and Control (eess.SY) · yesterdayDigital twinMulti-Viewpoint Modeling Framework for DT Integration with LLM AnalysisarXiv API — полнотекстовый поиск "digital twin" · 19hDigital twinStructured Persona Extraction for LLM-Based Digital TwinsarXiv — Computers and Society (cs.CY) · yesterdayForecastingLLM-Agent Stress Test: Feed Effects on Lexical DiversityarXiv — Multiagent Systems (cs.MA) · yesterdayModellingHow to manage behavior of multi-agent systemsХабр · yesterdayDigital twinDigital Twin for Ground-to-QEYSSat Quantum LinkarXiv API — полнотекстовый поиск "digital twin" · 2dDigital twinAligning Upper Ontologies for Defence: IES, HQDM, and BFOarXiv API — полнотекстовый поиск "digital twin" · 2dDigital twinReliability-Aware Scheduling for Digital Twin MaintenancearXiv API — полнотекстовый поиск "digital twin" · 2dDigital twinAI disrupts glass fiber manufacturing: predictive maintenance, digital twins, and infrastructureGlobeNewswire · 3dDigital twinKMG implements digital twins at 12 fieldsdprom.kz — промышленность · 4dDigital twinDigital Twin of SWER Networks for Narrowband CommunicationarXiv API — полнотекстовый поиск "digital twin" · 4d
A survey of Digital Twin Network (DTN) architectures for 6G: classified into passive and active control twins, discussed enabling technologies and open challenges. A gap in technical classification and computational feasibility is noted.
Why it matters
Important for understanding the role of digital twins in managing next-generation network infrastructure.
A hybrid edge-cloud digital twin architecture is introduced for climate control in poultry facilities. It integrates distributed sensing, on-device state estimation, a grey-box physics-data model, and model predictive control to handle biological variability and welfare constraints.
A multi-viewpoint modeling framework is proposed for integrating and reusing digital twins. It treats integration as a cross-model consistency problem and uses LLM for compatibility analysis.
The study investigates how structuring persona information affects accuracy of LLM-based digital twins. It argues that structural organization, not information volume, is the key bottleneck. Unstructured summaries are compared with structured persona representations.
