David J. Hoelzle

29 papers C 14Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	An advantage based policy transfer algorithm for reinforcement learning with metrics of transferability. CoRR Md Ferdous Alam, Parinaz Naghizadeh, David J. Hoelzle
2023	J	`jnl`	Reinforcement Learning Enabled Autonomous Manufacturing Using Transfer Learning and Probabilistic Reward Modeling. IEEE Control. Syst. Lett. Md Ferdous Alam, Max Shtein, Kira Barton, David J. Hoelzle
2023	J	`jnl`	Robust Higher-Order Spatial Iterative Learning Control for Additive Manufacturing Systems. IEEE Trans. Control. Syst. Technol. Zahra Afkhami, David J. Hoelzle, Kira Barton
2022	J	`jnl`	A Surgical Robot for Intracorporeal Additive Manufacturing of Tissue Engineering Constructs. IEEE Robotics Autom. Lett. Andrej Simeunovic, Kevin Wolf, Kollin Tierling, David J. Hoelzle
2022	J	`jnl`	Hybrid Control of Flowrate in Microextrusion-Based Direct-Write Additive Manufacturing. IEEE Control. Syst. Lett. Ali Asghari Adib, David J. Hoelzle
2022	C	`conf`	Sample efficient transfer in reinforcement learning for high variable cost environments with an inaccurate source reward model. ACC Md Ferdous Alam, Max Shtein, Kira Barton, David J. Hoelzle
2021	C	`conf`	A physics-guided reinforcement learning framework for an autonomous manufacturing system with expensive data. ACC Md Ferdous Alam, Max Shtein, Kira Barton, David J. Hoelzle
2021	—	`conf`	Higher-Order Spatial Iterative Learning Control for Additive Manufacturing. CDC Zahra Afkhami, David J. Hoelzle, Kira Barton
2021	C	`conf`	Hybrid Control of Flowrate in Microextrusion-Based Direct-Write Additive Manufacturing. ACC Ali Asghari Adib, David J. Hoelzle
2021	C	`conf`	The Ensemble Kalman Filter as a tool for estimating temperatures in the powder bed fusion process. ACC Nathaniel Wood, Edwin Schwalbach, Andrew Gillman, David J. Hoelzle
2020	J	`jnl`	Temperature states in Powder Bed Fusion additive manufacturing are structurally controllable and observable. CoRR Nathaniel Wood, David J. Hoelzle
2020	J	`jnl`	Time-Scale Transformed Iterative Learning Control for a Class of Nonlinear Systems With Uncertain Trial Duration. IEEE Trans. Control. Syst. Technol. Patrick M. Sammons, David J. Hoelzle, Kira Barton
2019	C	`conf`	Coupled Dynamics of Material Delivery and Robotic Manipulator Axes in Endoscopic Additive Manufacturing. ACC Andrej Simeunovic, David J. Hoelzle
2019	C	`conf`	Hybrid System Model of Microextrusion-Based Direct-Write Additive Manufacturing. ACC Ali Asghari Adib, David J. Hoelzle
2019	C	`conf`	LPV models for jet-printed heightmap control. ACC Christopher Pannier, Maxwell Wu, David J. Hoelzle, Kira Barton
2019	J	`jnl`	Robust Monotonically Convergent Spatial Iterative Learning Control: Interval Systems Analysis via Discrete Fourier Transform. IEEE Trans. Control. Syst. Technol. Berk Altin, Zhi Wang, David J. Hoelzle, Kira Barton
2018	C	`conf`	On the feasibility of a temperature state observer for powder bed fusion additive manufacturing. ACC Nathaniel Wood, David J. Hoelzle
2018	C	`conf`	System Identification of a Discrete Repetitive Process Model for Electrohydrodynamic Jet Printing. ACC Zhi Wang, Patrick M. Sammons, Christopher P. Pannier, Kira Barton, David J. Hoelzle
2017	—	`conf`	Hybrid modeling and identification of jetting dynamics in electrohydrodynamic jet printing. CCTA Isaac A. Spiegel, Ilya Kovalenko, David J. Hoelzle, Patrick M. Sammons, Kira L. Barton
2016	C	`conf`	An application of spatial Iterative Learning Control to micro-additive manufacturing. ACC Zhi Wang, Christopher Pannier, Lauro V. Ojeda, Kira Barton, David J. Hoelzle
2016	J	`jnl`	On Spatial Iterative Learning Control via 2-D Convolution: Stability Analysis and Computational Efficiency. IEEE Trans. Control. Syst. Technol. David J. Hoelzle, Kira L. Barton
2014	C	`conf`	A new spatial Iterative Learning Control approach for improved micro-Additive Manufacturing. ACC David J. Hoelzle, Kira L. Barton
2014	J	`jnl`	Bumpless Transfer Filter for Exogenous Feedforward Signals. IEEE Trans. Control. Syst. Technol. David J. Hoelzle, Amy J. Wagoner Johnson, Andrew G. Alleyne
2012	—	`conf`	Flexible iterative learning control using a library based interpolation scheme. CDC David J. Hoelzle, Kira Barton
2011	J	`jnl`	Basis Task Approach to Iterative Learning Control With Applications to Micro-Robotic Deposition. IEEE Trans. Control. Syst. Technol. David J. Hoelzle, Andrew G. Alleyne, Amy J. Wagoner Johnson
2011	C	`conf`	Bumpless transfer for a flexible adaptation of Iterative Learning Control. ACC David J. Hoelzle, Andrew G. Alleyne, Amy J. Wagoner Johnson
2011	J	`jnl`	Cross-coupled iterative learning control of systems with dissimilar dynamics: design and implementation. Int. J. Control Kira L. Barton, David J. Hoelzle, Andrew G. Alleyne, Amy J. Wagoner Johnson
2009	C	`conf`	Iterative Learning Control using a basis signal library. ACC David J. Hoelzle, Andrew G. Alleyne, Amy J. Wagoner Johnson
2008	C	`conf`	Iterative Learning Control for robotic deposition using machine vision. ACC David J. Hoelzle, Andrew G. Alleyne, Amy J. Wagoner Johnson