Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control-Reference-Cited by-同舟云学术

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Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control

Published:2024-07-10 Issue: Volume:120 Page:3130-3137
ISSN:
Container-title:2024 American Control Conference (ACC)
language:
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Author:

Thorpe Adam J.¹,Neary Cyrus²,Djeumou Franck²,K. Oishi Meeko M.¹,Topcu Ufuk²

Affiliation:

1. University of New Mexico,Electrical & Computer Eng.,Abq.,NM

2. Oden Institute for Computational Engineering and Sciences, and the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin,Department of Electrical and Computer Engineering,Austin,TX,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10644130/10644150/10644707.pdf?arnumber=10644707

Reference55 articles.

1. Dynamic programming and optimal control;Bertsekas;Athena Scientific, 2012

2. The Koopman Operator in Systems and Control

3. Sequential Action Control: Closed-Form Optimal Control for Nonlinear and Nonsmooth Systems

4. Data-driven discovery of partial differential equations

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-Driven Superstabilization of Linear Systems Under Quantization;2024 American Control Conference (ACC);2024-07-10

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