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Anomaly detection and productivity analysis for cyber-physical systems in manufacturing., , , and . CASE, page 23-29. IEEE, (2017)Categorization of Anomalies in Smart Manufacturing Systems to Support the Selection of Detection Mechanisms., , , , , , , and . IEEE Robotics Autom. Lett., 2 (4): 1885-1892 (2017)A Digital Twin Framework for Performance Monitoring and Anomaly Detection in Fused Deposition Modeling., , and . CASE, page 823-829. IEEE, (2019)Reinforcement Learning Enabled Autonomous Manufacturing Using Transfer Learning and Probabilistic Reward Modeling., , , and . IEEE Control. Syst. Lett., (2023)Digital Twin Framework for Reconfiguration Management: Concept & Evaluation., , , and . IEEE Access, (2023)Robust Task Scheduling for Heterogeneous Robot Teams Under Capability Uncertainty., , , , , and . IEEE Trans. Robotics, 39 (2): 1087-1105 (April 2023)Layer-to-Layer Stability of Linear Layerwise Spatially Varying Systems: Applications in Fused Deposition Modeling., , and . IEEE Trans. Control. Syst. Technol., 29 (6): 2517-2532 (2021)Robust Task Scheduling for Heterogeneous Robot Teams under Capability Uncertainty., , , , , and . CoRR, (2021)Chance constrained reachability in environments with spatially varying energy costs., , , , , and . Robotics Auton. Syst., (2019)Iterative learning control with discrete-time nonlinear nonminimum phase models via stable inversion., , , and . CoRR, (2021)