@inproceedings{fd37180695e94a5e965b2705576e5818,
title = "DL-based Online Modeling of Nonlinear ODE-beam Cascaded Systems: Application to Flexible Morphing Aircraft",
abstract = "A deep learning (DL)-based online modeling scheme is proposed integrated deep auto-encoder and sparse identification of nonlinear dynamical systems for ordinary differential equation (ODE)-Euler-Bernoulli beam (EBB) cascaded systems. The online model dynamically evolves through new data streams and revising the reconstruction reduced-order dynamic system and reconstruction output for ODE-EBB cascaded systems. Simulation results on a flexible morphing aircraft are provided for validating the effectiveness of the DL-based online modeling approach and its superiority in modeling accuracy and efficiency is also validated by comparing with the DL-based offline one.",
keywords = "ODE-EBB cascaded systems, deep learning, flexible morphing aircraft, online modeling",
author = "Zhang, \{Jin Feng\} and Wu, \{Huai Ning\} and Wang, \{Jun Wei\}",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2025 and International Symposium on Autonomous Systems, ISAS 2025 ; Conference date: 23-05-2025 Through 25-05-2025",
year = "2025",
doi = "10.1109/ICAISISAS64483.2025.11052132",
language = "英语",
series = "2025 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2025 and International Symposium on Autonomous Systems, ISAS 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2025 and International Symposium on Autonomous Systems, ISAS 2025",
address = "美国",
}