Learning in control

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 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 Learning feedforward control of a hydraulic clutch actuation path based on policy gradients (2020) Mesmer F, Szabo T, Graichen K Conference contribution Hierarchical Predictive Control of a Combined Engine/Selective Catalytic Reduction System with Limited Model Knowledge (2020) Geiselhart R, Bergmann D, Niemeyer J, Remele J, Graichen K Journal article Hierarchical predictive control of a combined engine/SCR system with limited model knowledge (2020) Geiselhart R, Bergmann D, Niemeyer J, Remele J, Graichen K Journal article