Learning in control

Transfer learning study of motion transformer based trajectory predictions (2024) Ullrich L, McMaster A, Graichen K Conference contribution, Conference Contribution Sampling for model predictive trajectory planning in autonomous driving using normalizing flows (2024) Rabenstein G, Ullrich L, Graichen K Conference contribution, Conference Contribution Probabilistic prediction methods for nonlinear systems with application to stochastic model predictive control (2023) Landgraf D, Völz A, Berkel F, Schmidt K, Specker T, Graichen K Journal article Online learning and adaptation of nonlinear thermal networks for power inverters (2023) Schumann M, Ebersberger S, Graichen K Conference contribution, Conference Contribution Safe active learning and probabilistic design of experiment for autonomous hydraulic excavators (2023) Dio M, Demir O, Trachte A, Graichen K Conference contribution, Conference Contribution Data-driven feed-forward control of hydraulic cylinders using Gaussian process regression for excavator assistance functions (2022) Rabenstein G, Demir O, Trachte A, Graichen K Conference contribution Semi-infinite programming using Gaussian process regression for robust design optimization (2022) Stecher J, Kiltz L, Graichen K Conference contribution Hierarchical learning for model predictive collision avoidance (2022) Landgraf D, Völz A, Kontes G, Graichen K, Mutschler C Conference contribution Nonlinear MPC of a Heavy-Duty Diesel Engine With Learning Gaussian Process Regression (2022) Bergmann D, Harder K, Niemeyer J, Graichen K Journal article Safe Bayesian Optimization under Unknown Constraints (2020) Bergmann D, Graichen K Conference contribution