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ORCIDJing Xie 0015
Person information
- affiliation: Politecnico di Milano, Milan, Italy
Other persons with the same name
- Jing Xie — disambiguation page
- Jing Xie 0001 — Norwegian University of Science and Technology, Department of Telematic, Trondheim, Norway (and 1 more)
- Jing Xie 0002 — Google, Mountain View, CA, USA
- Jing Xie 0003
![[0000-0003-1236-3944]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1236-3944")
— Ocean University of China, Qingdao, China - Jing Xie 0004 — Pacific Northwest National Laboratory, Seattle Research Center, Seattle, WA, USA (and 1 more)
- Jing Xie 0005 — Tsinghua University, Beijing, China
- Jing Xie 0006 — Pennsylvania State University, University Park, PA, USA
- Jing Xie 0007 — RMIT University, Melbourne, VIC, Australia
- Jing Xie 0008 — University of Missouri at Columbia, Columbia, MO, USA
- Jing Xie 0009 — American Express Company, New York, NY, USA (and 1 more)
- Jing Xie 0010 — Shanghai Jiao Tong University, Shanghai, China
- Jing Xie 0011 — University of North Carolina at Charlotte, Charlotte, NC, USA
- Jing Xie 0012 — Harbin Institute of Technology, Harbin, Heilongjiang, China
- Jing Xie 0013 — Xi'an University of Finance and Economics, China
- Jing Xie 0014 — Shenyang University of Technology, Shenyang, Liaoning, China
- Jing Xie 0016 — University of Macau, Taipa, Macau, SAR, China
- Jing Xie 0017 — Sun Yat-Sen University, Guangzhou, China
- Jing Xie 0018 — Group Technology and Research, DNV GL, Høvik, Norway
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2020 – today
- 2025
[j2]Jing Xie, Fabio Bonassi, Riccardo Scattolini:
Learning Control Affine Neural NARX Models for Internal Model Control Design. IEEE Trans Autom. Sci. Eng. 22: 8137-8149 (2025)- 2024
- [c3]Léo Simpson, Jing Xie, Jonas Asprion, Riccardo Scattolini:
A Learning-based Model Predictive Control Scheme with Application to Temperature Control Units *. CCTA 2024: 675-680 - [i6]Jing Xie, Léo Simpson, Jonas Asprion, Riccardo Scattolini:
A Learning-based Model Predictive Control Scheme with Application to Temperature Control Units. CoRR abs/2402.05606 (2024) - [i5]Jing Xie, Fabio Bonassi, Riccardo Scattolini:
Internal Model Control design for systems learned by Control Affine Neural Nonlinear Autoregressive Exogenous Models. CoRR abs/2402.05607 (2024) - 2022
- [j1]Yongchao Wang, Marion Leibold, Jinoh Lee, Wenyan Ye, Jing Xie, Martin Buss:
Incremental Model Predictive Control Exploiting Time-Delay Estimation for a Robot Manipulator. IEEE Trans. Control. Syst. Technol. 30(6): 2285-2300 (2022) - [c2]Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini:
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. CDC 2022: 2123-2128 - [c1]Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini:
Towards lifelong learning of Recurrent Neural Networks for control design. ECC 2022: 2018-2023 - [i4]Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini:
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. CoRR abs/2203.16290 (2022) - [i3]Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini:
Towards lifelong learning of Recurrent Neural Networks for control design. CoRR abs/2208.03980 (2022) - [i2]Jing Xie, Fabio Bonassi, Marcello Farina, Riccardo Scattolini:
Robust offset-free nonlinear model predictive control for systems learned by neural nonlinear autoregressive exogenous models. CoRR abs/2210.06801 (2022) - 2021
- [i1]Fabio Bonassi, Marcello Farina, Jing Xie, Riccardo Scattolini:
On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments. CoRR abs/2111.13557 (2021)
Coauthor Index
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