Robust Data-Driven Control Barrier Functions for Unknown Continuous Control Affine Systems-Reference-Cited by-同舟云学术

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Robust Data-Driven Control Barrier Functions for Unknown Continuous Control Affine Systems

Published:2023 Issue: Volume:7 Page:1309-1314
ISSN:2475-1456
Container-title:IEEE Control Systems Letters
language:
Short-container-title:IEEE Control Syst. Lett.

Author:

Jin Zeyuan¹^ORCID,Khajenejad Mohammad²^ORCID,Yong Sze Zheng³^ORCID

Affiliation:

1. School for Engineering, Matter and Transport, Arizona State University, Tempe, AZ, USA

2. Department of Mechanical and Aerospace Engineering, University of California at San Diego, San Diego, CA, USA

3. Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, USA

Funder

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Control and Optimization,Control and Systems Engineering

Link

https://ieeexplore.ieee.org/ielam/7782633/9828546/10015033-aam.pdf

Reference23 articles.

1. Control Barrier Functions for Unknown Nonlinear Systems using Gaussian Processes*

2. Data-driven controller synthesis of unknown nonlinear polynomial systems via control barrier certificates;nejati;Proc Learn Dyn Control Conf,2022

3. Lectures on Modern Convex Optimization

4. Pointwise feasibility of Gaussian process-based safety-critical control under model uncertainty;casta neda;Proc IEEE Conf Decis Control (CDC),2021

5. Control Barriers in Bayesian Learning of System Dynamics

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1. Input-Output Supervisor Design for Systems Analyzed in Cooperating Pairs of Subsystems;2024 32nd Mediterranean Conference on Control and Automation (MED);2024-06-11

2. Robust adaptive safety control of uncertain nonlinear systems and its application to differential robots;International Journal of Robust and Nonlinear Control;2024-06-02

3. Parameterized Barrier Functions to Guarantee Safety Under Uncertainty;IEEE Control Systems Letters;2023

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