David J. Hoelzle
Orcid: 0000-0002-3316-5878
According to our database1,
David J. Hoelzle
authored at least 28 papers
between 2008 and 2023.
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Bibliography
2023
Robust Higher-Order Spatial Iterative Learning Control for Additive Manufacturing Systems.
IEEE Trans. Control. Syst. Technol., July, 2023
Reinforcement Learning Enabled Autonomous Manufacturing Using Transfer Learning and Probabilistic Reward Modeling.
IEEE Control. Syst. Lett., 2023
An advantage based policy transfer algorithm for reinforcement learning with metrics of transferability.
CoRR, 2023
2022
A Surgical Robot for Intracorporeal Additive Manufacturing of Tissue Engineering Constructs.
IEEE Robotics Autom. Lett., 2022
Hybrid Control of Flowrate in Microextrusion-Based Direct-Write Additive Manufacturing.
IEEE Control. Syst. Lett., 2022
Sample efficient transfer in reinforcement learning for high variable cost environments with an inaccurate source reward model.
Proceedings of the American Control Conference, 2022
2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
The Ensemble Kalman Filter as a tool for estimating temperatures in the powder bed fusion process.
Proceedings of the 2021 American Control Conference, 2021
A physics-guided reinforcement learning framework for an autonomous manufacturing system with expensive data.
Proceedings of the 2021 American Control Conference, 2021
2020
Time-Scale Transformed Iterative Learning Control for a Class of Nonlinear Systems With Uncertain Trial Duration.
IEEE Trans. Control. Syst. Technol., 2020
Temperature states in Powder Bed Fusion additive manufacturing are structurally controllable and observable.
CoRR, 2020
2019
Robust Monotonically Convergent Spatial Iterative Learning Control: Interval Systems Analysis via Discrete Fourier Transform.
IEEE Trans. Control. Syst. Technol., 2019
Coupled Dynamics of Material Delivery and Robotic Manipulator Axes in Endoscopic Additive Manufacturing.
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 2019 American Control Conference, 2019
2018
On the feasibility of a temperature state observer for powder bed fusion additive manufacturing.
Proceedings of the 2018 Annual American Control Conference, 2018
System Identification of a Discrete Repetitive Process Model for Electrohydrodynamic Jet Printing.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Hybrid modeling and identification of jetting dynamics in electrohydrodynamic jet printing.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017
2016
On Spatial Iterative Learning Control via 2-D Convolution: Stability Analysis and Computational Efficiency.
IEEE Trans. Control. Syst. Technol., 2016
An application of spatial Iterative Learning Control to micro-additive manufacturing.
Proceedings of the 2016 American Control Conference, 2016
2014
IEEE Trans. Control. Syst. Technol., 2014
A new spatial Iterative Learning Control approach for improved micro-Additive Manufacturing.
Proceedings of the American Control Conference, 2014
2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
Basis Task Approach to Iterative Learning Control With Applications to Micro-Robotic Deposition.
IEEE Trans. Control. Syst. Technol., 2011
Cross-coupled iterative learning control of systems with dissimilar dynamics: design and implementation.
Int. J. Control, 2011
Proceedings of the American Control Conference, 2011
2009
Proceedings of the American Control Conference, 2009
2008
Proceedings of the American Control Conference, 2008