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20232026
most citedReal-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks

96 citations · 140 across the 9 of their papers we have counts for

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eess.SY2025★ 1 cited

Adaptive Digital Twin of Sheet Metal Forming via Proper Orthogonal Decomposition-Based Koopman Operator with Model Predictive Control

Yi-Ping Chen, Derick Suarez, Ying-Kuan Tsai +6

Digital Twin (DT) technologies are transforming manufacturing by enabling real-time prediction, monitoring, and control of complex processes. Yet, applying DT to deformation-based…

eess.SY2025★ 15 cited

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning

Yi-Ping Chen, Ying-Kuan Tsai, Vispi Karkaria +1

Digital Twins, virtual replicas of physical systems that enable real-time monitoring, model updates, predictions, and decision-making, present novel avenues for proactive control s…