Bayesian Learning-Based Adaptive Control for Safety Critical Systems

Bayesian Learning-Based Adaptive Control for Safety Critical Systems

5 October 2019

Jennifer Nguyen

Nikhilesh Alatur

Ali-akbar Agha-mohammadi

Evangelos A. Theodorou

Papers citing "Bayesian Learning-Based Adaptive Control for Safety Critical Systems"

13 / 13 papers shown

Title
Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving Lei Zheng Rui Yang Zeng Peng Wei Yan Michael Yu Wang Jun Ma 29 2 0 07 Mar 2024
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang P. Fränti 3DV 25 3 0 16 Jul 2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning Shengbo Wang Ke Li Yin Yang Yuting Cao Tingwen Huang S. Wen 14 4 0 03 Jul 2023
Safe Learning-Based Feedback Linearization Tracking Control for Nonlinear System with Event-Triggered Model Update Zhixuan Wu Ruicong Yang Lei Zheng Hui Cheng 20 12 0 07 Mar 2022
On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation T. Lew Apoorva Sharma James Harrison Edward Schmerling Marco Pavone 16 6 0 11 Nov 2021
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty F. Castañeda Jason J. Choi Bike Zhang Claire Tomlin K. Sreenath 19 50 0 13 Jun 2021
Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety Noel Csomay-Shanklin Ryan K. Cosner Min Dai Andrew J. Taylor Aaron D. Ames 27 23 0 04 May 2021
Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty Richard Cheng R. Murray J. W. Burdick 26 6 0 05 Mar 2021
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics F. Castañeda Jason J. Choi Bike Zhang Claire Tomlin K. Sreenath 22 38 0 14 Nov 2020
Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties Richard Cheng M. J. Khojasteh Aaron D. Ames J. W. Burdick 17 87 0 11 Apr 2020
Deep Learning Tubes for Tube MPC David D. Fan Ali-akbar Agha-mohammadi Evangelos A. Theodorou 12 57 0 05 Feb 2020
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving Grady Williams P. Drews Brian Goldfain James M. Rehg Evangelos A. Theodorou 76 263 0 07 Jul 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015