Yongqian Xiao
Orcid: 0000-0002-1674-988X
According to our database1,
Yongqian Xiao
authored at least 6 papers
between 2020 and 2024.
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Bibliography
2024
A deep Koopman operator-based modelling approach for long-term prediction of dynamics with pixel-level measurements.
CAAI Trans. Intell. Technol., February, 2024
2023
Deep Neural Networks With Koopman Operators for Modeling and Control of Autonomous Vehicles.
IEEE Trans. Intell. Veh., January, 2023
DDK: A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2021
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles.
CoRR, 2021
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels.
CoRR, 2021
2020
A deep learning framework based on Koopman operator for data-driven modeling of vehicle dynamics.
CoRR, 2020