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ORCIDKatrin Baumgärtner
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2020 – today
- 2024
[j5]Florian Messerer
, Katrin Baumgärtner, Sergio Lucia, Moritz Diehl:
Fourth-Order Suboptimality of Nominal Model Predictive Control in the Presence of Uncertainty. IEEE Control. Syst. Lett. 8: 508-513 (2024)- [j4]David Kiessling, Katrin Baumgärtner, Jonathan Frey, Wilm Decré, Jan Swevers, Moritz Diehl:
Fast Generation of Feasible Trajectories in Direct Optimal Control. IEEE Control. Syst. Lett. 8: 1168-1173 (2024) - [c11]Rudolf Reiter, Katrin Baumgärtner, Rien Quirynen, Moritz Diehl:
Progressive Smoothing for Motion Planning in Real-Time NMPC. ECC 2024: 1816-1823 - [i2]Rudolf Reiter, Katrin Baumgärtner, Rien Quirynen, Moritz Diehl:
Progressive Smoothing for Motion Planning in Real-Time NMPC. CoRR abs/2403.01830 (2024) - [i1]Rudolf Reiter, Andrea Ghezzi, Katrin Baumgärtner, Jasper Hoffmann, Robert D. McAllister, Moritz Diehl:
AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control. CoRR abs/2406.03995 (2024) - 2023
- [j3]Florian Messerer, Katrin Baumgärtner, Moritz Diehl:
A Dual-Control Effect Preserving Formulation for Nonlinear Output-Feedback Stochastic Model Predictive Control With Constraints. IEEE Control. Syst. Lett. 7: 1171-1176 (2023) - [j2]Katrin Baumgärtner, Andrea Zanelli, Moritz Diehl:
Stability Analysis of Nonlinear Model Predictive Control With Progressive Tightening of Stage Costs and Constraints. IEEE Control. Syst. Lett. 7: 3018-3023 (2023) - [c10]Katrin Baumgärtner, Moritz Diehl:
Local Convergence Analysis of Damping for Zero-Order Optimization-Based Iterative Learning Control. ECC 2023: 1-6 - [c9]Katrin Baumgärtner, Florian Messerer, Moritz Diehl:
A Unified Local Convergence Analysis of Differential Dynamic Programming, Direct Single Shooting, and Direct Multiple Shooting. ECC 2023: 1-7 - [c8]Leonardo Cecchin, Katrin Baumgärtner, Stefan Gering, Moritz Diehl:
Locally Weighted Regression with Approximate Derivatives for Data-based optimization. ECC 2023: 1-6 - 2022
- [c7]Katrin Baumgärtner, Moritz Diehl:
The Extended Gauss-Newton Method for Nonconvex Loss Functions and its Application to Time-Optimal Model Predictive Control. ACC 2022: 4973-4978 - [c6]Katrin Baumgärtner, Yizhen Wang, Andrea Zanelli, Moritz Diehl:
Fast Nonlinear Model Predictive Control using Barrier Formulations and Squashing with a Generalized Gauss-Newton Hessian. CDC 2022: 558-563 - [c5]Katrin Baumgärtner, Rudolf Reiter, Moritz Diehl:
Moving Horizon Estimation with Adaptive Regularization for Ill-Posed State and Parameter Estimation Problems. CDC 2022: 2165-2171 - [c4]Jochem De Schutter, Eugen Nuss, Katrin Baumgärtner, Dirk Abel, Moritz Diehl:
Nonlinear MPC and MHE of a Gasoline Controlled Auto-Ignition Engine based on Reduced-Order Differential Equation Models. CDC 2022: 2411-2416 - 2021
- [j1]Katrin Baumgärtner, Jonathan Frey, Reza Hashemi, Moritz Diehl:
Zero-order moving horizon estimation for large-scale nonlinear processes. Comput. Chem. Eng. 154: 107433 (2021) - 2020
- [c3]Katrin Baumgärtner, Moritz Diehl:
Zero-Order Optimization-Based Iterative Learning Control. CDC 2020: 3751-3757 - [c2]Katrin Baumgärtner, Andrea Zanelli, Moritz Diehl:
A Gradient Condition for the Arrival Cost in Moving Horizon Estimation. ECC 2020: 1286-1291
2010 – 2019
- 2019
- [c1]Katrin Baumgärtner, Andrea Zanelli, Moritz Diehl:
Zero-Order Moving Horizon Estimation. CDC 2019: 4140-4146
Coauthor Index
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