Katrin Baumgärtner

27 papers C 1Journal 14Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AC4MPC: Actor-Critic Reinforcement Learning for Guiding Model Predictive Control. IEEE Trans. Control. Syst. Technol. Rudolf Reiter, Andrea Ghezzi, Katrin Baumgärtner, Jasper Hoffmann, Robert D. McAllister, Moritz Diehl
2026	J	`jnl`	Synthesis of model predictive control and reinforcement learning: Survey and classification. Annu. Rev. Control. Rudolf Reiter, Jasper Hoffmann, Dirk Reinhardt, Florian Messerer, Katrin Baumgärtner, Shambhuraj Sawant, Joschka Bödecker, Moritz Diehl, Sebastien Gros
2025	J	`jnl`	Differentiable Nonlinear Model Predictive Control. CoRR Jonathan Frey, Katrin Baumgärtner, Gianluca Frison, Dirk Reinhardt, Jasper Hoffmann, Leonard Fichtner, Sebastien Gros, Moritz Diehl
2025	J	`jnl`	Gauss-Newton accelerated MPPI Control. CoRR Hannes Homburger, Katrin Baumgärtner, Moritz Diehl, Johannes Reuter
2025	J	`jnl`	Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine. CoRR Alexander Winkler, Pranav Shah, Katrin Baumgärtner, Vasu Sharma, David C. Gordon, Jakob Andert
2025	J	`jnl`	Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification. CoRR Rudolf Reiter, Jasper Hoffmann, Dirk Reinhardt, Florian Messerer, Katrin Baumgärtner, Shamburaj Sawant, Joschka Boedecker, Moritz Diehl, Sebastien Gros
2024	J	`jnl`	AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control. CoRR Rudolf Reiter, Andrea Ghezzi, Katrin Baumgärtner, Jasper Hoffmann, Robert D. McAllister, Moritz Diehl
2024	J	`jnl`	Fast Generation of Feasible Trajectories in Direct Optimal Control. IEEE Control. Syst. Lett. David Kiessling, Katrin Baumgärtner, Jonathan Frey, Wilm Decré, Jan Swevers, Moritz Diehl
2024	J	`jnl`	Fourth-Order Suboptimality of Nominal Model Predictive Control in the Presence of Uncertainty. IEEE Control. Syst. Lett. Florian Messerer, Katrin Baumgärtner, Sergio Lucia, Moritz Diehl
2024	J	`jnl`	Gauss-Newton Runge-Kutta integration for efficient discretization of optimal control problems with long horizons and least-squares costs. Eur. J. Control Jonathan Frey, Katrin Baumgärtner, Moritz Diehl
2024	—	`conf`	Iterative Learning-Based Nonlinear Model Predictive Control of an Underactuated Autonomous Surface Vessel in Current Fields. CDC Hannes Homburger, Katrin Baumgärtner, Stefan Wirtensohn, Moritz Diehl, Johannes Reuter
2024	—	`conf`	MPC4RL - A Software Package for Reinforcement Learning based on Model Predictive Control. CDC Dirk Reinhardt, Katrin Baumgärtner, Jonathan Frey, Moritz Diehl, Sebastien Gros
2024	—	`conf`	Progressive Smoothing for Motion Planning in Real-Time NMPC. ECC Rudolf Reiter, Katrin Baumgärtner, Rien Quirynen, Moritz Diehl
2024	J	`jnl`	Progressive Smoothing for Motion Planning in Real-Time NMPC. CoRR Rudolf Reiter, Katrin Baumgärtner, Rien Quirynen, Moritz Diehl
2023	J	`jnl`	A Dual-Control Effect Preserving Formulation for Nonlinear Output-Feedback Stochastic Model Predictive Control With Constraints. IEEE Control. Syst. Lett. Florian Messerer, Katrin Baumgärtner, Moritz Diehl
2023	—	`conf`	A Unified Local Convergence Analysis of Differential Dynamic Programming, Direct Single Shooting, and Direct Multiple Shooting. ECC Katrin Baumgärtner, Florian Messerer, Moritz Diehl
2023	—	`conf`	Local Convergence Analysis of Damping for Zero-Order Optimization-Based Iterative Learning Control. ECC Katrin Baumgärtner, Moritz Diehl
2023	—	`conf`	Locally Weighted Regression with Approximate Derivatives for Data-based optimization. ECC Leonardo Cecchin, Katrin Baumgärtner, Stefan Gering, Moritz Diehl
2023	J	`jnl`	Stability Analysis of Nonlinear Model Predictive Control With Progressive Tightening of Stage Costs and Constraints. IEEE Control. Syst. Lett. Katrin Baumgärtner, Andrea Zanelli, Moritz Diehl
2022	—	`conf`	Fast Nonlinear Model Predictive Control using Barrier Formulations and Squashing with a Generalized Gauss-Newton Hessian. CDC Katrin Baumgärtner, Yizhen Wang, Andrea Zanelli, Moritz Diehl
2022	—	`conf`	Moving Horizon Estimation with Adaptive Regularization for Ill-Posed State and Parameter Estimation Problems. CDC Katrin Baumgärtner, Rudolf Reiter, Moritz Diehl
2022	—	`conf`	Nonlinear MPC and MHE of a Gasoline Controlled Auto-Ignition Engine based on Reduced-Order Differential Equation Models. CDC Jochem De Schutter, Eugen Nuss, Katrin Baumgärtner, Dirk Abel, Moritz Diehl
2022	C	`conf`	The Extended Gauss-Newton Method for Nonconvex Loss Functions and its Application to Time-Optimal Model Predictive Control. ACC Katrin Baumgärtner, Moritz Diehl
2021	J	`jnl`	Zero-order moving horizon estimation for large-scale nonlinear processes. Comput. Chem. Eng. Katrin Baumgärtner, Jonathan Frey, Reza Hashemi, Moritz Diehl
2020	—	`conf`	A Gradient Condition for the Arrival Cost in Moving Horizon Estimation. ECC Katrin Baumgärtner, Andrea Zanelli, Moritz Diehl
2020	—	`conf`	Zero-Order Optimization-Based Iterative Learning Control. CDC Katrin Baumgärtner, Moritz Diehl
2019	—	`conf`	Zero-Order Moving Horizon Estimation. CDC Katrin Baumgärtner, Andrea Zanelli, Moritz Diehl