2 citations · 3 across the 4 of their papers we have counts for
4 papers
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
Jialin Li, Marta Zagorowska, Giulia De Pasquale +2
Ensuring safety is a key aspect in sequential decision making problems, such as robotics or process control. The complexity of the underlying systems often makes finding the optima…
Adaptive Bayesian Optimization for High-Precision Motion Systems
Christopher König, Raamadaas Krishnadas, Efe C. Balta +1
Controller tuning and parameter optimization are crucial in system design to improve closed-loop system performance. Bayesian optimization has been established as an efficient mode…
Efficient safe learning for controller tuning with experimental validation
Marta Zagorowska, Christopher König, Hanlin Yu +3
Optimization-based controller tuning is challenging because it requires formulating optimization problems explicitly as functions of controller parameters. Safe learning algorithms…
Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems
Samuel Balula, Efe C. Balta, Dominic Liao-McPherson +2
Learning-based control methods for industrial processes leverage the repetitive nature of the underlying process to learn optimal inputs for the system. While many works focus on l…