Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models-Reference-Cited by-同舟云学术

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Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models

Published:2024-05-13 Issue: Volume:30 Page:14763-14769
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Zhang Yu¹,Wen Long¹,Yao Xiangtong¹,Bing Zhenshan¹,Kong Linghuan²,He Wei³,Knoll Alois¹

Affiliation:

1. Technical University of Munich,Department of Informatics,Germany

2. University of Macau,Faculty of Science and Technology,Department of Electrical and Computer Engineering,Macau,China

3. University of Science and Technology Beijing,School of Intelligence Science and Technology,Beijing,China,100083

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610624.pdf?arnumber=10610624

Reference35 articles.

1. Control Barrier Functions: Theory and Applications

2. Safety-Critical Control for Dynamical Bipedal Walking with Precise Footstep Placement**This work is partially supported through funding from the Google Faculty Award and NSF Grant IIS-1464337.

3. Safety-Critical Control for Non-affine Nonlinear Systems with Application on Autonomous Vehicle

4. Meta-Reinforcement Learning in Nonstationary and Nonparametric Environments

5. Safe Learning of Quadrotor Dynamics Using Barrier Certificates

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