Constrained and Stabilizing Stacked Adaptive Dynamic Programming and a Comparison with Model Predictive Control. - Lukas Beckenbach; Pavel Osinenko; Thomas Göhrt; Stefan Streif (ECC, 2018)

Practical Sample-and-Hold Stabilization of Nonlinear Systems Under Approximate Optimizers. - Pavel Osinenko; Lukas Beckenbach; Stefan Streif (IEEE Control. Syst. Lett., 2018)

Model predictive control with stage cost shaping inspired by reinforcement learning. - Lukas Beckenbach; Pavel Osinenko; Stefan Streif (CDC, 2019)

On closed-loop stability of model predictive controllers with learning costs. - Lukas Beckenbach; Pavel Osinenko; Stefan Streif (ECC, 2020)

Model Predictive Control of a Food Production Unit: A Case Study for Lettuce Production. - Murali Padmanabha; Lukas Beckenbach; Stefan Streif (CoRR, 2020)

A Q-learning predictive control scheme with guaranteed stability. - Lukas Beckenbach; Pavel Osinenko; Stefan Streif (Eur. J. Control, 2020)

On performance bound estimation in NMPC with time-varying terminal cost. - Lukas Beckenbach; Stefan Streif (CoRR, 2021)

A Performance Bound for Model Based Online Reinforcement Learning. - Lukas Beckenbach; Stefan Streif (CoRR, 2021)

Approximate infinite-horizon predictive control. - Lukas Beckenbach; Stefan Streif (CDC, 2022)

A stabilizing reinforcement learning approach for sampled systems with partially unknown models. - Lukas Beckenbach; Pavel Osinenko; Stefan Streif (CoRR, 2022)

Predictive Control with Learning-Based Terminal Costs Using Approximate Value Iteration. - Francisco Moreno-Mora; Lukas Beckenbach; Stefan Streif (CoRR, 2022)

Performance bounds of adaptive MPC with bounded parameter uncertainties. - Francisco Moreno-Mora; Lukas Beckenbach; Stefan Streif (Eur. J. Control, 2022)