Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with
Actuation Uncertainty

Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty

21 November 2020

Andrew J. Taylor

Victor D. Dorobantu

Benjamin Recht

Papers citing "Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty"

7 / 7 papers shown

Title
Learning Linear Dynamics from Bilinear Observations Yahya Sattar Yassir Jedra Sarah Dean 26 1 0 24 Sep 2024
Scaling Robust Optimization for Multi-Agent Robotic Systems: A Distributed Perspective Arshiya Taj Abdul A. Saravanos Evangelos A. Theodorou 40 1 0 26 Feb 2024
Enhancing Reinforcement Learning Agents with Local Guides Paul Daoudi Bogdan Robu Christophe Prieur Ludovic Dos Santos M. Barlier OnRL 31 3 0 21 Feb 2024
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems Jason J. Choi F. Castañeda Wonsuhk Jung Bike Zhang Claire J. Tomlin K. Sreenath 35 3 0 23 Nov 2023
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods Charles Dawson Sicun Gao Chuchu Fan 33 229 0 23 Feb 2022
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty F. Castañeda Jason J. Choi Bike Zhang Claire Tomlin K. Sreenath 30 50 0 13 Jun 2021
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems Andrew J. Taylor Victor D. Dorobantu Hoang Minh Le Yisong Yue Aaron D. Ames 117 78 0 04 Mar 2019