PIGD-TL: Physics-Informed Generative Dynamics with Transfer Learning
Author:
Affiliation:
1. Konkuk University,Department of Aerospace Information Engineering,Seoul,South Korea
2. Konkuk Aerospace Design-Airworthiness Institute, Konkuk University,Seoul,South Korea
Funder
National Research Foundation of Korea(NRF)
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10316683/10316739/10316820.pdf?arnumber=10316820
Reference10 articles.
1. Generative ai-based flight dynamic model for uav digital twin;jang;The Korean Societ for Aeronautical & Space Sciences,2023
2. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
3. Neural dynamics for multicopter digital twin using deep learning;jang;The Korean Societ for Aeronautical & Space Sciences,2022
4. Software Aging Effects on Kubernetes in Container Orchestration Systems for Digital Twin Cloud Infrastructures of Urban Air Mobility
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