Hans Butler

Orcid: 0000-0002-2650-4798

According to our database1, Hans Butler authored at least 39 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Active Compensation of Position Dependent Flexible Dynamics in High-Precision Mechatronics.
CoRR, 2024

Structured physics-guided neural networks for electromagnetic commutation applied to industrial linear motors.
CoRR, 2024

Frequency Domain Auto-tuning of Structured LPV Controllers for High-Precision Motion Control.
CoRR, 2024

2023
On Improved Commutation for Moving-Magnet Planar Actuators.
IEEE Control. Syst. Lett., 2023

Physics-guided neural networks for inversion-based feedforward control applied to hybrid stepper motors.
CoRR, 2023

Exploring the use of deep learning in task-flexible ILC.
CoRR, 2023

Physics-guided neural networks for feedforward control with input-to-state stability guarantees.
CoRR, 2023

Data-Driven Feedforward Control Design for Nonlinear Systems: A Control-Oriented System Identification Approach.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Physics-guided neural networks for inversion-based feedforward control applied to hybrid stepper motors<sup>*</sup>.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Exploring the use of deep learning in task-flexible ILC<sup>*</sup>.
Proceedings of the American Control Conference, 2023

2022
On modal observers for beyond rigid body H<sub>∞</sub> control in high-precision mechatronics.
CoRR, 2022

Physics-guided neural networks for feedforward control: From consistent identification to feedforward controller design.
CoRR, 2022

LPV sequential loop closing for high-precision motion systems.
CoRR, 2022

On discretization of continuous-time LPV control solutions.
CoRR, 2022

On feedforward control using physics-guided neural networks: Training cost regularization and optimized initialization.
Proceedings of the European Control Conference, 2022

On modal observers for beyond rigid body H∞ control in high-precision mechatronics<sup>*</sup>.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Physics-Guided Neural Networks for Feedforward Control: From Consistent Identification to Feedforward Controller Design<sup>*</sup>.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

LPV sequential loop closing for high-precision motion systems<sup>*</sup>.
Proceedings of the American Control Conference, 2022

2021
Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

On feedforward control of piezoelectric dual-stage actuator systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Physics-Guided Neural Networks for Inversion-based Feedforward Control applied to Linear Motors.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021

On the Use of the Smith-McMillan Form in Decoupling System Dynamics.
Proceedings of the 2021 American Control Conference, 2021

Generalization of ILC for fixed order reference trajectories using interpolation.
Proceedings of the 17th IEEE International Conference on Advanced Motion Control, 2021

2020
Control of Wafer Scanners: Methods and Developments.
Proceedings of the 2020 American Control Conference, 2020

2019
Data-driven Neural Feedforward Controller Design for Industrial Linear Motors.
Proceedings of the 23rd International Conference on System Theory, Control and Computing, 2019

2018
Nonlinear Model Predictive Control of Ironless Linear Motors.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018

An instrumental variable method for closed-loop identification of coreless linear motors.
Proceedings of the 2018 Annual American Control Conference, 2018

Experimental Validation of Inversion Techniques for an LPV motion system.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
A method to guarantee local convergence for sequential quadratic programming with poor Hessian approximation.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Reference-tracking feedforward control design for linear dynamical systems through signal decomposition.
Proceedings of the 2017 American Control Conference, 2017

2016
An analytical commutation law for parasitic forces and torques compensation in coreless linear motors.
Proceedings of the 15th European Control Conference, 2016

Exact plant inversion of flexible motion systems with a time-varying state-to-output map.
Proceedings of the 15th European Control Conference, 2016

A Hessian-free algorithm for solving quadratic optimization problems with nonlinear equality constraints.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Modeling and feedforward compensation of air mounts with internal Helmholtz resonances.
Proceedings of the 2016 American Control Conference, 2016

2015
State estimator synthesis for position dependent flexible systems with position independent error convergence.
Proceedings of the 23rd Mediterranean Conference on Control and Automation, 2015

Performance trade-offs in disturbance feedforward compensation of active hard-mounted vibration isolators.
Proceedings of the American Control Conference, 2015

Improved disturbance rejection for high precision systems through estimation of the flexible modes.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015

Self-tuning disturbance feedforward control with drift prevention for air mount systems.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015

2013
Adaptive Feedforward for a Wafer Stage in a Lithographic Tool.
IEEE Trans. Control. Syst. Technol., 2013


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