Jack Umenberger

IEEE Trans. Autom. Control., 2022

Globally Convergent Policy Search over Dynamic Filters for Output Estimation.

[BibT_eX]

[DOI]

CoRR, 2022

Globally Convergent Policy Search for Output Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Stabilizing Dynamical Systems via Policy Gradient Methods.

[BibT_eX]

[DOI]

Juan C. Perdomo

Max Simchowitz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Identifying External Contacts from Joint Torque Measurements on Serial Robotic Arms and Its Limitations.

[BibT_eX]

[DOI]

Tao Pang

Russ Tedrake

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Closed-loop data-enabled predictive control.

[BibT_eX]

[DOI]

Proceedings of the 2021 American Control Conference, 2021

2020

Nonlinear Input Design as Optimal Control of a Hamiltonian System.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2020

Learning Robust LQ-Controllers Using Application Oriented Exploration.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2020

On the smoothness of nonlinear system identification.

[BibT_eX]

[DOI]

Autom., 2020

Optimistic robust linear quadratic dual control.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2019

Specialized Interior-Point Algorithm for Stable Nonlinear System Identification.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

Convex Bounds for Equation Error in Stable Nonlinear Identification.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2019

Inverse optimal control for discrete-time finite-horizon Linear Quadratic Regulators.

[BibT_eX]

[DOI]

Han Zhang

Xiaoming Hu

Autom., 2019

Robust exploration in linear quadratic reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bayesian identification of state-space models via adaptive thermostats.

[BibT_eX]

[DOI]

Fredrik Lindsten

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Maximum likelihood identification of stable linear dynamical systems.

[BibT_eX]

[DOI]

Autom., 2018

Learning convex bounds for linear quadratic control policy synthesis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Identification of externally positive systems.

[BibT_eX]

[DOI]

Christian Grussler

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Linear System Identification via EM with Latent Disturbances and Lagrangian Relaxation.

[BibT_eX]

[DOI]

CoRR, 2016

Scalable identification of stable positive systems.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Specialized algorithm for identification of stable linear systems using Lagrangian relaxation.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

2014

Real-time planning with primitives for dynamic walking over uneven terrain.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

System identification and control of a small-scale paramotor.

[BibT_eX]

[DOI]