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Deciding before inferring: when digital twins can act on uncertified interface data

https://doi.org/10.2139/ssrn.7576574
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Error management for robot programming
inferredcites →https://doi.org/10.1016/0005-1098(91)90134-nopenalex-snapshot
Optimal estimation theory for dynamic systems with set membership uncertainty
inferredcites →https://doi.org/10.1016/j.automatica.2006.05.016openalex-snapshot
Least costly identification experiment for control
inferredcites →https://doi.org/10.1016/j.cirp.2020.04.086openalex-snapshot
A design framework for adaptive digital twins
inferredcites →https://doi.org/10.1016/j.compind.2023.103856openalex-snapshot
Context-aware representation of digital twins’ data: The ontology network role
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Online validation of digital twins for manufacturing systems
inferredcites →https://doi.org/10.1016/j.compind.2023.103958openalex-snapshot
Updating digital twins: Methodology for data accuracy quality control using machine learning techniques
inferredcites →https://doi.org/10.1016/j.compind.2024.104113openalex-snapshot
A Digital Twin use cases classification and definition framework based on Industrial feedback
inferredcites →https://doi.org/10.1016/j.compind.2026.104540openalex-snapshot
A Reusable and Maintainable Digital Twin Framework for State Estimation Using Physics-Based Models of Mechanical Systems: Predictive Maintenance Case Studies
inferredcites →https://doi.org/10.1016/j.conengprac.2005.06.015openalex-snapshot
Introduction to the DAMADICS actuator FDI benchmark study
inferredcites →https://doi.org/10.1016/j.enbuild.2024.114637openalex-snapshot
Semantic digital twin creation of building systems through time series based metadata inference – A review
inferredcites →https://doi.org/10.1016/j.ifacol.2018.08.474openalex-snapshot
Digital Twin in manufacturing: A categorical literature review and classification
inferredcites →https://doi.org/10.1016/j.jprocont.2019.04.009openalex-snapshot
A heterogeneous benchmark dataset for data analytics: Multiphase flow facility case study
inferredcites →https://doi.org/10.1016/j.procir.2022.05.070openalex-snapshot
The Time Synchronization Problem in data-intense Manufacturing
inferredcites →https://doi.org/10.1057/jos.2012.20openalex-snapshot
Verification and validation of simulation models
inferredcites →https://doi.org/10.1080/24725854.2023.2253869openalex-snapshot
The digital twin synchronization problem: Framework, formulations, and analysis
inferredcites →https://doi.org/10.1103/physrevlett.85.461openalex-snapshot
Measuring Information Transfer
inferredcites →https://doi.org/10.1109/tac.1968.1098790openalex-snapshot
Recursive state estimation: Unknown but bounded errors and system inputs
inferredcites →https://doi.org/10.1109/tcst.2012.2233476openalex-snapshot
Direct Causality Detection via the Transfer Entropy Approach
inferredcites →https://doi.org/10.1109/tii.2017.2740434openalex-snapshot
Interoperability for Industrial Cyber-Physical Systems: An Approach for Legacy Systems
inferredcites →https://doi.org/10.1109/tii.2017.2741339openalex-snapshot
Using Properties as a Semantic Base for Interoperability
inferredcites →https://doi.org/10.1109/tii.2018.2873186openalex-snapshot
Digital Twin in Industry: State-of-the-Art
inferredcites →https://doi.org/10.1109/tii.2022.3200598openalex-snapshot
Digital-Twin Consistency Checking Based on Observed Timed Events With Unobservable Transitions in Smart Manufacturing
inferredcites →https://doi.org/10.1109/tit.1970.1054406openalex-snapshot
On optimum recognition error and reject tradeoff
inferredcites →https://doi.org/10.1177/0278364920966642openalex-snapshot
ALFA: A dataset for UAV fault and anomaly detection
inferredcites →https://doi.org/10.1515/itit-2023-0051openalex-snapshot
Machine learning in sensor identification for industrial systems
inferredcites →https://doi.org/10.1561/2200000101openalex-snapshot
Conformal Prediction: A Gentle Introduction
inferredcites →https://doi.org/10.2307/1912791openalex-snapshot
Investigating Causal Relations by Econometric Models and Cross-spectral Methods
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