Data-Driven Modeling of a High Capacity Cryogenic System for Control Optimization-Reference-Cited by-同舟云学术

Data-Driven Modeling of a High Capacity Cryogenic System for Control Optimization

Published:2023 Issue:2 Volume:56 Page:3986-3993
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Maldonado Bryan P.,Liu Frank,Goth Nolan,Ramuhalli Pradeep,Howell Matthew,Maekawa Ryuji,Cousineau Sarah

Publisher

Elsevier BV

Subject

General Medicine

Reference15 articles.

1. Pure and pseudo-pure fluid thermophysical property evaluation and the open-source thermophysical property library coolprop;Bell;Industrial & Engineering Chemistry Research,2014

2. Control of warm compression stations using model predictive control: Simulation and experimental results;Bonne;IOP Conference Series: Materials Science and Engineering,2017

3. Modeling, simulation and control of large scale cryogenic systems;Bradu;IFAC Proceedings Volumes,2008

4. Hydrogen moderator system functional system description;Crabtree,2003

5. Closed-loop identification revisited;Forssell;Automatica,1999

Cited by 3 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. Transient Optimization of the Cryogenic Moderator System Controller at the Spallation Neutron Source for Improved Performance;2024 IEEE Conference on Control Technology and Applications (CCTA);2024-08-21

2. A machine learning approach for particle accelerator errant beam prediction using spatial phase deviation;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2024-06

3. Dynamic systems modeling of the spallation neutron source cryogenic moderator system to optimize transient control and prepare for power upgrades;IOP Conference Series: Materials Science and Engineering;2024-05-01