Katrin Baumgärtner

Orcid: 0009-0004-0485-8386

According to our database1, Katrin Baumgärtner authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fourth-Order Suboptimality of Nominal Model Predictive Control in the Presence of Uncertainty.
IEEE Control. Syst. Lett., 2024

Fast Generation of Feasible Trajectories in Direct Optimal Control.
IEEE Control. Syst. Lett., 2024

AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control.
CoRR, 2024

Progressive Smoothing for Motion Planning in Real-Time NMPC.
Proceedings of the European Control Conference, 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
Zero-order moving horizon estimation for large-scale nonlinear processes.
Comput. Chem. Eng., 2021

2020
A Gradient Condition for the Arrival Cost in Moving Horizon Estimation.
Proceedings of the 18th European Control Conference, 2020

Zero-Order Optimization-Based Iterative Learning Control.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Zero-Order Moving Horizon Estimation.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019


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