Volume 13
Issue 6
IEEE/CAA Journal of Automatica Sinica
| Citation: | L. Mao, J. Chen, H. Zhang, Z. Tian, J. Su, X. Wang, D. Niu, and S. Li, “Data-physics hybrid mpc for disturbed underactuated crane: Design and experiments,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 6, pp. 1527–1529, Jun. 2026. doi: 10.1109/JAS.2025.126002 |
| [1] |
K.-S. Hong and U. H. Shah, Dynamics and Control of Industrial Cranes. Singapore: Springer, 2019.
|
| [2] |
N. Sun and Y. Fang, “Nonlinear tracking control of underactuated cranes with load transferring and lowering: Theory and experimentation,” Automatica, vol. 50, no. 9, pp. 2350–2357, 2014. doi: 10.1016/j.automatica.2014.07.023
|
| [3] |
G. Li, X. Ma, and Y. Li, “Robust command shaped vibration control for stacker crane subject to parameter uncertainties and external disturbances,” IEEE Trans. Industrial Electronics, vol. 71, no. 11, pp. 14740–14752, 2024.
|
| [4] |
B. Peng, N. Gu, D. Wang, and Z. Peng, “Finite-time parameter self-learning disturbance rejection control of MSV: Methodology and validation,” IEEE/CAA J. Autom. Sinica, 2025. DOI: 10.1109/JAS.2024.124917.
|
| [5] |
G. Torrente, E. Kaufmann, P. Föhn, and D. Scaramuzza, “Data-driven MPC for quadrotors,” IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 3769–3776, 2021. doi: 10.1109/LRA.2021.3061307
|
| [6] |
M. Lin, Z. Sun, R. Hu, and Y. Xia, “Safety enhancement for nonlinear systems via learning-based model predictive control with Gaussian process regression,” Neurocomputing, vol. 591, Art. no. 127706, 2024. doi: 10.1016/j.neucom.2024.127706
|
| [7] |
F. Li, H. Li, and C. Wu, “Gaussian process based learning model predictive control with application to USV,” IEEE Trans. Industrial Electronics, vol. 71, no. 12, pp. 16388–16397, 2024. doi: 10.1109/TIE.2024.3384617
|
| [8] |
S. Li, J. Yang, M. Iwasaki, and W.-H. Chen, “Hierarchical disturbance/uncertainty estimation and attenuation for integrated modeling and motion control: Overview and perspectives,” IEEE/ASME Trans. Mechatronics, vol. 30, no. 6, pp. 4435–4449, 2025.
|
| [9] |
P. Tan, J. Liu, M. Sun, and Z. Chen, “Disturbance compensation-based deep reinforcement learning control strategy for underactuated overhead crane systems: Design and experiments,” IEEE Trans. Intelligent Transport. Systems, vol. 26, no. 4, pp. 4380–4390, 2025.
|
| [10] |
A. Mesbah, “Stochastic model predictive control: An overview and perspectives for future research,” IEEE Control Systems Magazine, vol. 36, no. 6, pp. 30–44, 2016. doi: 10.1109/MCS.2016.2602087
|
| [11] |
C. E. Rasmussen and H. Nickisch, “Gaussian processes for machine learning (GPML) toolbox,” J. Machine Learning Research, vol. 11, pp. 3011–3015, 2010.
|