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ORCIDNa Lin 0002
Person information
- affiliation (PhD 2021): Qingdao University of Science and Technology, School of Automation and Electronic Engineering, China
Other persons with the same name
- Na Lin — disambiguation page
- Na Lin 0001
![[0000-0003-4941-1727]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4941-1727")
— Shenyang Aerospace University, School of Computer Science, China (and 1 more) - Na Lin 0003 — Dalian University of Technology, School of Economics and Management, China
- Na Lin 0004 — University of Science and Technology of China, Department of Automation, Hefei, China
- Na Lin 0005 — China National Institute of Standardization, SAMR Key Laboratory of Human Factors and Ergonomics, Beijing, China
- Na Lin 0006 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Na Lin 0007 — Jilin Agricultural University, Associate Research Librarian with the Library, Changchun, China
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2020 – today
- 2024
[j24]Ronghu Chi, Na Lin, Biao Huang, Zhongsheng Hou:
Performance-oriented design and analysis for direct data-driven control of multi-agent systems. Inf. Sci. 666: 120419 (2024)- [j23]Ronghu Chi, Huaying Li, Na Lin, Biao Huang:
Data-Driven Indirect Iterative Learning Control. IEEE Trans. Cybern. 54(3): 1650-1660 (2024) - [j22]Ronghu Chi, Wenzhi Cui, Na Lin, Zhongsheng Hou, Biao Huang:
Sampled-Data Model-Free Adaptive Control for Nonlinear Continuous-Time Systems. IEEE Trans. Cybern. 54(8): 4775-4788 (2024) - [j21]Ronghu Chi, Zhiqing Liu, Na Lin, Zhongsheng Hou, Biao Huang:
Data-Driven Finite-Iteration Learning Control. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5296-5306 (2024) - [j20]Na Lin, Ronghu Chi, Biao Huang:
Double-Layered Iterative Learning Control for Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6033-6042 (2024) - 2023
- [j19]Na Lin, Ronghu Chi, Biao Huang:
Data-driven set-point control for nonlinear nonaffine systems. Inf. Sci. 625: 237-254 (2023) - [j18]Jian Xu, Na Lin, Ronghu Chi, Xueqiang Li:
High-order model-free adaptive iterative learning control. Trans. Inst. Meas. Control 45(10): 1886-1895 (2023) - [j17]Shiyong Sun, Ronghu Chi, Yang Liu, Na Lin:
Model-Free Adaptive Iterative Learning From Communicable Agents for Nonlinear Networks Consensus. IEEE Trans. Signal Inf. Process. over Networks 9: 458-467 (2023) - [j16]Na Lin, Huaying Li, Ronghu Chi, Zhongsheng Hou, Biao Huang:
Data-Driven Virtual Reference Set-Point Learning of PD Control and Applications to Permanent Magnet Linear Motors. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4142-4154 (2023) - [j15]Ronghu Chi, Xiaolin Guo, Na Lin, Biao Huang:
Dynamic Linearization and Extended State Observer-Based Data-Driven Adaptive Control. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 6805-6814 (2023) - 2022
- [j14]Huaying Li, Na Lin, Ronghu Chi:
Event-triggered iterative learning control for linear time-varying systems. Int. J. Syst. Sci. 53(5): 1110-1124 (2022) - [j13]Na Lin, Ronghu Chi, Biao Huang:
Event-Triggered ILC for Optimal Consensus at Specified Data Points of Heterogeneous Networked Agents With Switching Topologies. IEEE Trans. Cybern. 52(9): 8951-8961 (2022) - [j12]Yingzhen Yu, Na Lin, Ronghu Chi:
Data-driven adaptive tuning of iterative learning control. Trans. Inst. Meas. Control 44(15): 3016-3027 (2022) - 2021
- [j11]Na Lin, Ronghu Chi, Biao Huang:
Event-triggered learning consensus of networked heterogeneous nonlinear agents with switching topologies. J. Frankl. Inst. 358(7): 3803-3821 (2021) - [j10]Na Lin, Ronghu Chi, Biao Huang, Zhongsheng Hou:
Event-Triggered Nonlinear Iterative Learning Control. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5118-5128 (2021) - [j9]Na Lin, Ronghu Chi, Biao Huang:
Event-Triggered Model-Free Adaptive Control. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3358-3369 (2021) - [j8]Na Lin, Ronghu Chi, Biao Huang:
Auxiliary Predictive Compensation-Based ILC for Variable Pass Lengths. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4048-4056 (2021) - 2020
- [j7]Jianmin Xing, Na Lin, Ronghu Chi, Biao Huang, Zhongsheng Hou:
Data-driven nonlinear ILC with varying trial lengths. J. Frankl. Inst. 357(15): 10262-10287 (2020)
2010 – 2019
- 2019
- [j6]Na Lin, Ronghu Chi, Biao Huang:
Linear Time-Varying Data Model-Based Iterative Learning Recursive Least Squares Identifications for Repetitive Systems. IEEE Access 7: 133304-133313 (2019) - [j5]Hao Liang, Na Lin, Ronghu Chi, Yumei Sun:
Linear Data-Model Based Adaptive ILC for Freeway Ramp Metering without Identical Conditions on Initial States and Reference Trajectory. Inf. Technol. Control. 48(2): 268-277 (2019) - [j4]Na Lin, Ronghu Chi, Biao Huang, Zhongsheng Hou:
Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control. J. Frankl. Inst. 356(1): 457-473 (2019) - [j3]Na Lin, Ronghu Chi, Biao Huang, Zhongsheng Hou:
Iterative dynamic linearization and identification of a nonlinear learning controller: A data-driven approach. J. Frankl. Inst. 356(13): 7009-7027 (2019) - [j2]Hao Liang, Na Lin, Ronghu Chi, Yumei Sun:
Discrete-time adaptive iterative learning control with incorporation of a priori process knowledge. Trans. Inst. Meas. Control 41(11): 3053-3064 (2019) - [j1]Na Lin, Hao Liang, Yunkai Lv, Ronghu Chi:
A forgetting-factor based data-driven optimal terminal iterative learning control with applications to product concentration control of ethanol fermentation processes. Trans. Inst. Meas. Control 41(14): 3936-3942 (2019) - 2016
- [c1]Ronghu Chi, Xiaohe Liu, Na Lin, Ruikun Zhang:
A data-driven iterative learning control for I/O constrained nonlinear systems. ICARCV 2016: 1-4
Coauthor Index
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