Prati
Katrin Baumgärtner
Katrin Baumgärtner
Potvrđena adresa e-pošte na imtek.uni-freiburg.de
Naslov
Citirano
Citirano
Godina
Survey of sequential convex programming and generalized Gauss-Newton methods
F Messerer, K Baumgärtner, M Diehl
ESAIM: Proceedings and Surveys 71, 64-88, 2021
392021
Zero-order optimization-based iterative learning control
K Baumgärtner, M Diehl
2020 59th IEEE Conference on Decision and Control (CDC), 3751-3757, 2020
82020
Zero-order moving horizon estimation
K Baumgärtner, A Zanelli, M Diehl
2019 IEEE 58th Conference on Decision and Control (CDC), 4140-4146, 2019
82019
A gradient condition for the arrival cost in moving horizon estimation
K Baumgärtner, A Zanelli, M Diehl
2020 European Control Conference (ECC), 1286-1291, 2020
52020
A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints
F Messerer, K Baumgärtner, M Diehl
IEEE Control Systems Letters 7, 1171-1176, 2022
42022
Fast nonlinear model predictive control using barrier formulations and squashing with a generalized Gauss-Newton hessian
K Baumgärtner, Y Wang, A Zanelli, M Diehl
2022 IEEE 61st Conference on Decision and Control (CDC), 558-563, 2022
32022
Zero-order moving horizon estimation for large-scale nonlinear processes
K Baumgärtner, J Frey, R Hashemi, M Diehl
Computers & Chemical Engineering 154, 107433, 2021
32021
The extended Gauss-Newton method for nonconvex loss functions and its application to time-optimal model predictive control
K Baumgärtner, M Diehl
2022 American Control Conference (ACC), 4973-4978, 2022
22022
Approximate propagation of normal distributions for stochastic optimal control of nonsmooth systems
F Messerer, K Baumgärtner, A Nurkanović, M Diehl
Nonlinear Analysis: Hybrid Systems 53, 101499, 2024
12024
Gauss-Newton Runge-Kutta Integration for Efficient Discretization of Optimal Control Problems with Long Horizons and Least-Squares Costs
J Frey, K Baumgärtner, M Diehl
arXiv preprint arXiv:2310.20390, 2023
12023
Stability Analysis of Nonlinear Model Predictive Control with Progressive Tightening of Stage Costs and Constraints
K Baumgärtner, A Zanelli, M Diehl
IEEE Control Systems Letters, 2023
12023
A Unified Local Convergence Analysis of Differential Dynamic Programming, Direct Single Shooting, and Direct Multiple Shooting
K Baumgärtner, F Messerer, M Diehl
2023 European Control Conference (ECC), 1-7, 2023
12023
Moving Horizon Estimation with Adaptive Regularization for Ill-Posed State and Parameter Estimation Problems
K Baumgärtner, R Reiter, M Diehl
2022 IEEE 61st Conference on Decision and Control (CDC), 2165-2171, 2022
12022
Fast Generation of Feasible Trajectories in Direct Optimal Control
D Kiessling, K Baumgärtner, W Decré, J Swevers, M Diehl
arXiv preprint arXiv:2403.10115, 2024
2024
Fourth-order suboptimality of nominal model predictive control in the presence of uncertainty
F Messerer, K Baumgärtner, S Lucia, M Diehl
arXiv preprint arXiv:2403.04559, 2024
2024
Progressive Smoothing for Motion Planning in Real-Time NMPC
R Reiter, K Baumgärtner, R Quirynen, M Diehl
arXiv preprint arXiv:2403.01830, 2024
2024
Locally Weighted Regression with Approximate Derivatives for Data-based optimization
L Cecchin, K Baumgärtner, S Gering, M Diehl
2023 European Control Conference (ECC), 1-6, 2023
2023
Local Convergence Analysis of Damping for Zero-Order Optimization-Based Iterative Learning Control
K Baumgärtner, M Diehl
2023 European Control Conference (ECC), 1-6, 2023
2023
Local Convergence Behaviour of Generalized Gauss-Newton Multiple Shooting, Single Shooting and Differential Dynamic Programming
K Baumgärtner, F Messerer, M Diehl
arXiv preprint arXiv:2301.04047, 2023
2023
Nonlinear MPC and MHE of a Gasoline Controlled Auto-Ignition Engine based on Reduced-Order Differential Equation Models
J De Schutter, E Nuss, K Baumgärtner, D Abel, M Diehl
2022 IEEE 61st Conference on Decision and Control (CDC), 2411-2416, 2022
2022
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