Safe Risk-Averse Bayesian Optimization for Controller Tuning-Reference-Cited by-同舟云学术

Safe Risk-Averse Bayesian Optimization for Controller Tuning

Published:2023-12 Issue:12 Volume:8 Page:8208-8215
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

König Christopher¹,Ozols Miks²,Makarova Anastasia³,Balta Efe C.¹^ORCID,Krause Andreas³^ORCID,Rupenyan Alisa⁴^ORCID

Affiliation:

1. Control and Automation Group, Inspire AG, Zurich, Switzerland

2. Automatic Control Laboratory, ETH Zurich, Zurich, Switzerland

3. Learning & Adaptive Systems Group, ETH Zurich, Zurich, Switzerland

4. ZHAW Centre for Artificial Intelligence, ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland

Funder

Swiss Innovation Agency

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

NCCR Automation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10287676/10288044.pdf?arnumber=10288044

Reference29 articles.

1. Bayesian optimization with inequality constraints;gardner;Proc Int Conf Mach Learn,0

2. On Controller Tuning with Time-Varying Bayesian Optimization

3. Direct Data-Driven Control of Constrained Systems

4. Performance-Driven Cascade Controller Tuning With Bayesian Optimization

5. Safe and efficient model-free adaptive control via Bayesian optimization;könig;Proc IEEE Int Conf Robot Automat,0

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