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paperarXivTrust 82 · PrimaryPublished 26d agoLive · 24d ago

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing

Digital Twins rely on surrogate models to mirror physical systems in real time, yet these models can degrade as operating conditions evolve, a phenomenon known as concept drift. Maintaining surrogate fidelity under drift, particularly when models must also capture aleatoric uncertainty, remains an open challenge. Existing adaptive frameworks lack principled mechanisms for detecting when updates are needed, for efficiently adapting models from limited streaming data, and for certifying that updates genuinely improve predictive performance. Here we present an adaptive Digital Twin framework that

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  • FuzzySimilar title/name (fuzzy) · 87%lllyasviel/ControlNet

    Fuzzy title match (0.94): “A Continual Validation, Updating, and Decision-Making Framew” ≈ “lllyasviel/ControlNet”

  • FuzzySimilar title/name (fuzzy) · 87%lllyasviel/ControlNet-v1-1

    Fuzzy title match (0.94): “A Continual Validation, Updating, and Decision-Making Framew” ≈ “lllyasviel/ControlNet-v1-1”

  • FuzzyOverlapping authors or contributors · 62%browser-use/browser-use

    Shared author/contributor keys: lee

  • FuzzySimilar title/name (fuzzy) · 59%builderz-labs/mission-control

    Fuzzy title match (0.73): “A Continual Validation, Updating, and Decision-Making Framew” ≈ “builderz-labs/mission-control”

  • LinkedLinked via arxiv author · 85%Yi-Ping Chen

    A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predict

  • LinkedLinked via arxiv author · 85%Ying-Kuan Tsai

    A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predict

  • LinkedLinked via arxiv author · 85%Vispi Karkaria

    A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predict

  • LinkedLinked via arxiv author · 85%Seul Lee

    A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predict

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