Physics-Informed LSTM Network-Based Nonlinear Model Predictive Control-Reference-Cited by-同舟云学术

Physics-Informed LSTM Network-Based Nonlinear Model Predictive Control

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)
language:
Short-container-title:

Author:

Chen Yujing¹,Qui Qilin¹,Zhang Hong¹,Wang Yanwei²,Zheng Ying¹

Affiliation:

1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology,The Belt and Road Joint Laboratory on Measurement and Control Technology,Wuhan,China,430074

2. School of Mechanical Electrical Engineering,Wuhan Institute of Technology,Wuhan,China,430073

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10165684/10165785/10167324.pdf?arnumber=10167324

Reference15 articles.

1. Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

2. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

3. Long Short-Term Memory

4. Automatic differentiation in machine learning: a survey;baydin;Journal of Marchine Learning Research,2018

5. Physics-informed neural network: Recent advances and prospects;ye;Computer Science,2022

Cited by 2 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. Physics-Informed Neural Network for Inertia Estimation of Power System with Inverter-Based Distributed Generation;2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS);2024-05-12

2. Grasp Stability Assessment Through Attention-Guided Cross-Modality Fusion and Transfer Learning;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01