Katrin Baumgärtner
Orcid: 0009-0004-0485-8386
According to our database1,
Katrin Baumgärtner
authored at least 21 papers
between 2019 and 2025.
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Bibliography
2025
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification.
CoRR, February, 2025
2024
Gauss-Newton Runge-Kutta integration for efficient discretization of optimal control problems with long horizons and least-squares costs.
Eur. J. Control, 2024
Fourth-Order Suboptimality of Nominal Model Predictive Control in the Presence of Uncertainty.
IEEE Control. Syst. Lett., 2024
IEEE Control. Syst. Lett., 2024
CoRR, 2024
Proceedings of the European Control Conference, 2024
MPC4RL - A Software Package for Reinforcement Learning based on Model Predictive Control.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
Iterative Learning-Based Nonlinear Model Predictive Control of an Underactuated Autonomous Surface Vessel in Current Fields.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
2023
A Dual-Control Effect Preserving Formulation for Nonlinear Output-Feedback Stochastic Model Predictive Control With Constraints.
IEEE Control. Syst. Lett., 2023
Stability Analysis of Nonlinear Model Predictive Control With Progressive Tightening of Stage Costs and Constraints.
IEEE Control. Syst. Lett., 2023
Locally Weighted Regression with Approximate Derivatives for Data-based optimization.
Proceedings of the European Control Conference, 2023
A Unified Local Convergence Analysis of Differential Dynamic Programming, Direct Single Shooting, and Direct Multiple Shooting.
Proceedings of the European Control Conference, 2023
Local Convergence Analysis of Damping for Zero-Order Optimization-Based Iterative Learning Control.
Proceedings of the European Control Conference, 2023
2022
Nonlinear MPC and MHE of a Gasoline Controlled Auto-Ignition Engine based on Reduced-Order Differential Equation Models.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Fast Nonlinear Model Predictive Control using Barrier Formulations and Squashing with a Generalized Gauss-Newton Hessian.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Moving Horizon Estimation with Adaptive Regularization for Ill-Posed State and Parameter Estimation Problems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
The Extended Gauss-Newton Method for Nonconvex Loss Functions and its Application to Time-Optimal Model Predictive Control.
Proceedings of the American Control Conference, 2022
2021
Comput. Chem. Eng., 2021
2020
Proceedings of the 18th European Control Conference, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019