Lukas Beckenbach

Eur. J. Control, 2022

Predictive Control with Learning-Based Terminal Costs Using Approximate Value Iteration.

[BibT_eX]

[DOI]

Francisco Moreno-Mora

CoRR, 2022

A stabilizing reinforcement learning approach for sampled systems with partially unknown models.

[BibT_eX]

[DOI]

CoRR, 2022

Approximate infinite-horizon predictive control.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

A Performance Bound for Model Based Online Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

On performance bound estimation in NMPC with time-varying terminal cost.

[BibT_eX]

[DOI]

CoRR, 2021

2020

A Q-learning predictive control scheme with guaranteed stability.

[BibT_eX]

[DOI]

Eur. J. Control, 2020

Model Predictive Control of a Food Production Unit: A Case Study for Lettuce Production.

[BibT_eX]

[DOI]

Murali Padmanabha

CoRR, 2020

On closed-loop stability of model predictive controllers with learning costs.

[BibT_eX]

[DOI]

Proceedings of the 18th European Control Conference, 2020

2019

Model predictive control with stage cost shaping inspired by reinforcement learning.

[BibT_eX]

[DOI]

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

2018

Practical Sample-and-Hold Stabilization of Nonlinear Systems Under Approximate Optimizers.

[BibT_eX]

[DOI]