David J. Hoelzle

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 21

Top Topics

Class Of Nonlinear Systems

Manufacturing Systems

Iterative Learning

Top Venues

IEEE Trans. Control. Syst. Technol.

IEEE Control. Syst. Lett.

Publications

Zahra Afkhami, David J. Hoelzle, Kira Barton
Robust Higher-Order Spatial Iterative Learning Control for Additive Manufacturing Systems. IEEE Trans. Control. Syst. Technol. 31 (4) (2023)
Md Ferdous Alam, Parinaz Naghizadeh, David J. Hoelzle
An advantage based policy transfer algorithm for reinforcement learning with metrics of transferability. CoRR (2023)
Md Ferdous Alam, Max Shtein, Kira Barton, David J. Hoelzle
Reinforcement Learning Enabled Autonomous Manufacturing Using Transfer Learning and Probabilistic Reward Modeling. IEEE Control. Syst. Lett. 7 (2023)
Md Ferdous Alam, Max Shtein, Kira Barton, David J. Hoelzle
Sample efficient transfer in reinforcement learning for high variable cost environments with an inaccurate source reward model. ACC (2022)
Ali Asghari Adib, David J. Hoelzle
Hybrid Control of Flowrate in Microextrusion-Based Direct-Write Additive Manufacturing. IEEE Control. Syst. Lett. 6 (2022)
Andrej Simeunovic, Kevin Wolf, Kollin Tierling, David J. Hoelzle
A Surgical Robot for Intracorporeal Additive Manufacturing of Tissue Engineering Constructs. IEEE Robotics Autom. Lett. 7 (3) (2022)
Md Ferdous Alam, Max Shtein, Kira Barton, David J. Hoelzle
A physics-guided reinforcement learning framework for an autonomous manufacturing system with expensive data. ACC (2021)
Ali Asghari Adib, David J. Hoelzle
Hybrid Control of Flowrate in Microextrusion-Based Direct-Write Additive Manufacturing. ACC (2021)
Zahra Afkhami, David J. Hoelzle, Kira Barton
Higher-Order Spatial Iterative Learning Control for Additive Manufacturing. CDC (2021)
Nathaniel Wood, Edwin Schwalbach, Andrew Gillman, David J. Hoelzle
The Ensemble Kalman Filter as a tool for estimating temperatures in the powder bed fusion process. ACC (2021)
Patrick M. Sammons, David J. Hoelzle, Kira Barton
Time-Scale Transformed Iterative Learning Control for a Class of Nonlinear Systems With Uncertain Trial Duration. IEEE Trans. Control. Syst. Technol. 28 (5) (2020)
Nathaniel Wood, David J. Hoelzle
Temperature states in Powder Bed Fusion additive manufacturing are structurally controllable and observable. CoRR (2020)
Ali Asghari Adib, David J. Hoelzle
Hybrid System Model of Microextrusion-Based Direct-Write Additive Manufacturing. ACC (2019)
Christopher Pannier, Maxwell Wu, David J. Hoelzle, Kira Barton
LPV models for jet-printed heightmap control. ACC (2019)
Berk Altin, Zhi Wang, David J. Hoelzle, Kira Barton
Robust Monotonically Convergent Spatial Iterative Learning Control: Interval Systems Analysis via Discrete Fourier Transform. IEEE Trans. Control. Syst. Technol. 27 (6) (2019)
Andrej Simeunovic, David J. Hoelzle
Coupled Dynamics of Material Delivery and Robotic Manipulator Axes in Endoscopic Additive Manufacturing. ACC (2019)
Zhi Wang, Patrick M. Sammons, Christopher P. Pannier, Kira Barton, David J. Hoelzle
System Identification of a Discrete Repetitive Process Model for Electrohydrodynamic Jet Printing. ACC (2018)
Nathaniel Wood, David J. Hoelzle
On the feasibility of a temperature state observer for powder bed fusion additive manufacturing. ACC (2018)
Isaac A. Spiegel, Ilya Kovalenko, David J. Hoelzle, Patrick M. Sammons, Kira L. Barton
Hybrid modeling and identification of jetting dynamics in electrohydrodynamic jet printing. CCTA (2017)
David J. Hoelzle, Kira L. Barton
On Spatial Iterative Learning Control via 2-D Convolution: Stability Analysis and Computational Efficiency. IEEE Trans. Control. Syst. Technol. 24 (4) (2016)
Zhi Wang, Christopher Pannier, Lauro Ojeda, Kira Barton, David J. Hoelzle
An application of spatial Iterative Learning Control to micro-additive manufacturing. ACC (2016)
David J. Hoelzle, Amy J. Wagoner Johnson, Andrew G. Alleyne
Bumpless Transfer Filter for Exogenous Feedforward Signals. IEEE Trans. Control. Syst. Technol. 22 (4) (2014)
David J. Hoelzle, Kira L. Barton
A new spatial Iterative Learning Control approach for improved micro-Additive Manufacturing. ACC (2014)
David J. Hoelzle, Kira Barton
Flexible iterative learning control using a library based interpolation scheme. CDC (2012)
David J. Hoelzle, Andrew G. Alleyne, Amy J. Wagoner Johnson
Basis Task Approach to Iterative Learning Control With Applications to Micro-Robotic Deposition. IEEE Trans. Control. Syst. Technol. 19 (5) (2011)
David J. Hoelzle, Andrew G. Alleyne, Amy J. Wagoner Johnson
Bumpless transfer for a flexible adaptation of Iterative Learning Control. ACC (2011)
Kira L. Barton, David J. Hoelzle, Andrew G. Alleyne, Amy J. Wagoner Johnson
Cross-coupled iterative learning control of systems with dissimilar dynamics: design and implementation. Int. J. Control 84 (7) (2011)
David J. Hoelzle, Andrew G. Alleyne, Amy J. Wagoner Johnson
Iterative Learning Control using a basis signal library. ACC (2009)
David J. Hoelzle, Andrew G. Alleyne, Amy J. Wagoner Johnson
Iterative Learning Control for robotic deposition using machine vision. ACC (2008)