Learning in control

A sensitivity-based approach to self-triggered nonlinear model predictive control (2024) Conrad P, Graichen K Journal article 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 Concept for an Automatic Annotation of Automotive Radar Data Using AI-segmented Aerial Camera Images (2023) Hoffmann M, Braun S, Sura O, Stelzig M, Schüßler C, Graichen K, Vossiek M Conference contribution Online learning and adaptation of nonlinear thermal networks for power inverters (2023) Schumann M, Ebersberger S, Graichen K Conference contribution, Conference Contribution Robust meta-learning of vehicle yaw rate dynamics via conditional neural processes (2023) Ullrich L, Völz A, 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 Performance prediction of NMPC algorithms with incomplete optimization (2023) Spenger P, Graichen K 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