Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees

7 May 2021

Papers citing "Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees"

9 / 9 papers shown

Title
Probabilistic Robust Linear Quadratic Regulators with Gaussian Processes Alexander von Rohr Matthias Neumann-Brosig Sebastian Trimpe 34 8 0 17 May 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression Christian Fiedler C. Scherer Sebastian Trimpe GP 39 67 0 06 May 2021
Deterministic error bounds for kernel-based learning techniques under bounded noise E. Maddalena Paul Scharnhorst Colin N. Jones 38 46 0 10 Aug 2020
Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes A. R. Geist Sebastian Trimpe 47 21 0 23 Apr 2020
Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems M. Helwa Adam Heins Angela P. Schoellig 24 51 0 03 Apr 2018
Learning-based Model Predictive Control for Safe Exploration Torsten Koller Felix Berkenkamp M. Turchetta Andreas Krause 39 376 0 22 Mar 2018
On Kernelized Multi-armed Bandits Sayak Ray Chowdhury Aditya Gopalan 104 458 0 03 Apr 2017
Linearly constrained Gaussian processes Carl Jidling Niklas Wahlström A. Wills Thomas B. Schon 42 98 0 02 Mar 2017
Understanding Probabilistic Sparse Gaussian Process Approximations Matthias Bauer Mark van der Wilk C. Rasmussen 41 257 0 15 Jun 2016