Autonomous control for Heat-Pipe microreactor using Data-Driven model predictive control

Author:

Lin Linyu,Oncken Joseph,Agarwal Vivek

Funder

Idaho Operations Office, U.S. Department of Energy

Idaho National Laboratory

US Department of Energy

U.S. Department of Energy - Idaho Operations Office

Publisher

Elsevier BV

Reference35 articles.

1. V. Agarwal, Y. A. Ballout, and J. Gehin. (2021). “Fission battery initiative: research and development plan.” INL/EXT-21-61275-Rev000, Idaho National Laboratory, Idaho Falls, ID. https://www.osti.gov/biblio/1834302.

2. V. Agarwal, et al. (2021). “Scalable Technologies Achieving Risk-Informed Condition-Based Predictive Maintenance Enhancing the Economic Performance of Operating Nuclear Power Plants.” INL/EXT-21-64168, Idaho National Laboratory, Idaho Falls, ID. https://lwrs.inl.gov/Advanced%20IIC%20System%20Technologies/Scalable%20Technologies%20Achieving%20Risk-Informed%20Condition-Based.pdf.

3. Arafat, Y., 2020, August. Microreactor Applications Research, Validation & EvaLuation (MARVEL) Project. GAIN-NEI-EPRI Microreactor Workshop, Virtual.

4. Sparse identification of nonlinear dynamics with control (SINDYc);Brunton;IFAC-PapersOnLine,2016

5. A review of heat pipe systems for heat recovery and renewable energy applications;Chaudhry;Renewable and Sustainable Energy Reviews,2012

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1. Human-Centered and Explainable Artificial Intelligence in Nuclear Operations;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2024-08-29

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