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ORCIDDong Shen 0002
Person information
- affiliation: Renmin University of China, Beijing, China
Other persons with the same name
- Dong Shen — disambiguation page
- Dong Shen 0001
![[0000-0002-4032-9578]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4032-9578")
— Beihang University, Beijing, China - Dong Shen 0003 — MMU KuaiShou Inc., China
- Dong Shen 0004 — South China University of Technology, Guangzhou, China
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2020 – today
- 2025
[j78]Yixiang Huang, Hao Jiang, Wai-Ki Ching, Dong Shen:
scRECL: representative ensembles with contrastive learning for scRNA-seq data clustering analysis. Briefings Bioinform. 26(4) (2025)- [j77]Wanzheng Qiu, Jinrong Wang, Dong Shen:
Consensus control for multi-agent systems with unknown faded neighborhood information via iterative learning scheme. Inf. Sci. 708: 122050 (2025) - [j76]Senwen Zhan, Hao Jiang, Dong Shen:
Co-regularized optimal high-order graph embedding for multi-view clustering. Pattern Recognit. 157: 110892 (2025) - [j75]Zihan Li, Dong Shen, Xinghuo Yu:
Accelerating Iterative Learning Control Using Fractional-Proportional-Type Update Rule. IEEE Trans. Autom. Control. 70(4): 2706-2713 (2025) - [j74]Zihan Li, Dong Shen, Xinghuo Yu:
A Multistage Update Rule Framework for Iterative Learning Control Systems. IEEE Trans Autom. Sci. Eng. 22: 1697-1713 (2025) - [j73]Tianbo Zhang, Keyou You, Dong Shen:
Distributed Closed-Loop Reference Adaptive Learning Control for Parallel Mutual Inductance Circuits. IEEE Trans. Circuits Syst. II Express Briefs 72(4): 583-587 (2025) - [j72]Niu Huo, Dong Shen, Daniel W. C. Ho:
Encoding-Decoding-Based Quantized Learning Control Using Spherical Polar Coordinates. IEEE Trans. Cybern. 55(2): 812-825 (2025) - [j71]Zhenfa Zhang, Dong Shen, Xinghuo Yu:
Iterative Learning Control for Pareto Optimal Tracking in Incompatible Multisensor Systems. IEEE Trans. Cybern. 55(3): 1093-1106 (2025) - [j70]Taojun Liu, Dong Shen, Jinrong Wang:
Adaptive Quantized Iterative Learning Control Using Encoding-Decoding Strategy. IEEE Trans. Cybern. 55(3): 1359-1371 (2025) - [j69]Zeyi Zhang, Dong Shen, Hao Jiang, Samer Saab, Xinghuo Yu:
Noisy Error-Adaptive Weighting Strategy for Accelerating ILC in Discrete-Time Systems. IEEE Trans. Cybern. 55(8): 3935-3947 (2025) - [j68]Zihan Li, Dong Shen, Xinghuo Yu:
Fractional-Proportional-Type Iterative Learning Control With a Novel Gain Selection Rule. IEEE Trans. Cybern. 55(9): 4466-4479 (2025) - [j67]Zihan Li, Dong Shen, Daniel W. C. Ho:
Finite- and Fixed-Time Learning Control for Continuous-Time Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 55(1): 792-804 (2025) - [j66]Zihan Li, Dong Shen:
Finite-Iteration Learning Control for Nonlinear Systems With Parameter Uncertainties. IEEE Trans. Syst. Man Cybern. Syst. 55(9): 6409-6422 (2025) - 2024
- [j65]Zeyi Zhang, Hao Jiang, Dong Shen, Samer S. Saab:
Data-Driven Learning Control Algorithms for Unachievable Tracking Problems. IEEE CAA J. Autom. Sinica 11(1): 205-218 (2024) - [j64]Xingying Zhao, Dong Shen:
FedSW: Federated learning with adaptive sample weights. Inf. Sci. 654: 119873 (2024) - [j63]Jian Yang, Jinrong Wang, Dong Shen:
Observer-based sampled-data event-triggered tracking for nonlinear multi-agent systems with semi-Markovian switching topologies. Inf. Sci. 676: 120803 (2024) - [j62]Shuai Gao, Qijiang Song, Hao Jiang, Dong Shen:
History Makes the Future: Iterative Learning Control for High-Speed Trains. IEEE Intell. Transp. Syst. Mag. 16(1): 6-21 (2024) - [j61]Zihan Li, Dong Shen:
Filter-Free Parameter Estimation Method for Continuous-Time Systems. IEEE Trans Autom. Sci. Eng. 21(4): 5062-5077 (2024) - [j60]Shuai Gao, Qijiang Song, Dong Shen:
Distributed Learning Control for High-Speed Trains Subject to Operation Safety Constraints. IEEE Trans. Cybern. 54(3): 1794-1805 (2024) - [j59]Shunhao Huang, Dong Shen, Jinrong Wang:
Point-to-Point Learning Tracking Control via Fading Communication Using Reference Update Strategy. IEEE Trans. Cybern. 54(4): 2284-2294 (2024) - [j58]Xiang Cheng, Hao Jiang, Dong Shen, Xinghuo Yu:
An Accelerated Adaptive Gain Design in Stochastic Learning Control. IEEE Trans. Cybern. 54(12): 7416-7429 (2024) - [j57]Tianbo Zhang, Shihui Jiang, Xingchen Li, Dong Shen, Keyou You:
Synthesis of Safety and Ride Comfort Control for Chassis of Maglev Trains. IEEE Trans. Intell. Transp. Syst. 25(12): 20364-20377 (2024) - [j56]Hao Jiang, Dong Shen, Shunhao Huang, Xinghuo Yu:
Accelerated Learning Control for Point-to-Point Tracking Systems. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1265-1277 (2024) - [j55]Xiang Cheng, Hao Jiang, Dong Shen:
A Novel Accelerated Multistage Learning Control Mechanism via Virtual Performance Reduction. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6338-6352 (2024) - [j54]Deqing Huang, Wei Yu, Dong Shen, Xuefang Li:
Data-Driven Distributed Learning Control for High-Speed Trains Considering Quantization Effects and Measurement Bias. IEEE Trans. Veh. Technol. 73(7): 9645-9655 (2024) - 2023
- [j53]Zihan Li, Dong Shen, Xinghuo Yu:
Enhancing Iterative Learning Control With Fractional Power Update Law. IEEE CAA J. Autom. Sinica 10(5): 1137-1149 (2023) - [j52]Hao Jiang, Xun He, Qijiang Song, Dong Shen:
Decentralized learning control for large-scale systems with gain-adaptation mechanisms. Inf. Sci. 623: 539-558 (2023) - [j51]Tianbo Zhang, Shihui Jiang, Dong Shen, Hongze Xu:
Adaptive finite-time fuzzy control for hybrid levitation system of maglev trains with active anti-lock constraints. J. Frankl. Inst. 360(4): 2635-2659 (2023) - [j50]Mingxue Liao, Dong Shen, Pin Lv:
A unified model of data uncertainty and data relation uncertainty. Knowl. Based Syst. 278: 110811 (2023) - [j49]Ronghu Chi, Huaying Li, Dong Shen, Zhongsheng Hou, Biao Huang:
Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates. IEEE Trans. Autom. Control. 68(3): 1600-1613 (2023) - [j48]Dong Shen:
Practical Learning-Tracking Framework Under Unknown Nonrepetitive Channel Randomness. IEEE Trans. Autom. Control. 68(6): 3331-3347 (2023) - [j47]Chen Liu, Xiaoe Ruan, Dong Shen, Hao Jiang:
Optimal Learning Control Scheme for Discrete-Time Systems With Nonuniform Trials. IEEE Trans. Cybern. 53(6): 3639-3650 (2023) - [j46]Xiang Cheng, Hao Jiang, Dong Shen, Xinghuo Yu:
A Novel Adaptive Gain Strategy for Stochastic Learning Control. IEEE Trans. Cybern. 53(8): 5264-5275 (2023) - [j45]Tianbo Zhang, Dong Shen, Shihui Jiang, Hongze Xu:
Adaptive Fixed-Time Antilock Control of Levitation System of High-Speed Maglev Train. IEEE Trans. Intell. Veh. 8(5): 3394-3404 (2023) - [j44]Ganggui Qu, Dong Shen, Xinghuo Yu:
Batch-Based Learning Consensus of Multiagent Systems With Faded Neighborhood Information. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2965-2977 (2023) - [j43]Ganggui Qu, Dong Shen, Qijiang Song, Xinghuo Yu:
Point-to-Point Learning and Tracking for Networked Stochastic Systems With Fading Communications. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3600-3612 (2023) - 2022
- [j42]Min Zhou, JinRong Wang, Dong Shen:
Iterative learning based consensus control for distributed parameter type multi-agent differential inclusion systems with time-delay. Comput. Math. Appl. 127: 25-47 (2022) - [j41]Hao Jiang, Dong Shen, Wai-Ki Ching, Yushan Qiu:
A high-order norm-product regularized multiple kernel learning framework for kernel optimization. Inf. Sci. 606: 72-91 (2022) - [j40]Dong Shen, Samer S. Saab:
Noisy-Output-Based Direct Learning Tracking Control With Markov Nonuniform Trial Lengths Using Adaptive Gains. IEEE Trans. Autom. Control. 67(8): 4123-4130 (2022) - [j39]Dong Shen, Chao Zhang:
Zero-Error Tracking Control Under Unified Quantized Iterative Learning Framework via Encoding-Decoding Method. IEEE Trans. Cybern. 52(4): 1979-1991 (2022) - [j38]Samer Said Saab, Dong Shen, Mohamad Orabi, David Kors, Rayana H. Jaafar:
Iterative Learning Control: Practical Implementation and Automation. IEEE Trans. Ind. Electron. 69(2): 1858-1866 (2022) - [j37]Fazhi Song, Yang Liu, Dong Shen, Li Li, Jiubin Tan:
Learning Control for Motion Coordination in Wafer Scanners: Toward Gain Adaptation. IEEE Trans. Ind. Electron. 69(12): 13428-13438 (2022) - [j36]Shihui Jiang, Dong Shen, Tianbo Zhang, Hongze Xu:
Nonlinear Robust Composite Levitation Control for High-Speed EMS Trains With Input Saturation and Track Irregularities. IEEE Trans. Intell. Transp. Syst. 23(11): 20323-20336 (2022) - [j35]Dong Shen, Xinghuo Yu:
Learning Tracking Over Unknown Fading Channels Based on Iterative Estimation. IEEE Trans. Neural Networks Learn. Syst. 33(1): 48-60 (2022) - [j34]Xuefang Li, Dong Shen, Beichen Ding:
Iterative Learning Control for Output Tracking of Nonlinear Systems With Unavailable State Information. IEEE Trans. Neural Networks Learn. Syst. 33(9): 5085-5092 (2022) - [j33]Dong Shen, Niu Huo, Samer S. Saab:
A Probabilistically Quantized Learning Control Framework for Networked Linear Systems. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7559-7573 (2022) - [j32]Dong Shen, Ganggui Qu, Qijiang Song:
Learning Control for Networked Stochastic Systems With Random Fading Communication. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3659-3670 (2022) - [c2]Xingying Zhao, Hao Jiang, Dong Shen:
Eogface: Deep Face Recognition via Extensional Logits. ICIP 2022: 311-315 - 2021
- [j31]Dong Shen, Ganggui Qu, Xinghuo Yu:
Averaging Techniques for Balancing Learning and Tracking Abilities Over Fading Channels. IEEE Trans. Autom. Control. 66(6): 2636-2651 (2021) - [j30]Dong Shen, Chen Liu, Lanjing Wang, Xinghuo Yu:
Iterative Learning Tracking for Multisensor Systems: A Weighted Optimization Approach. IEEE Trans. Cybern. 51(3): 1286-1299 (2021) - [j29]Dong Shen, Xinghuo Yu:
Learning Tracking Control Over Unknown Fading Channels Without System Information. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2721-2732 (2021) - 2020
- [j28]Dahui Luo, JinRong Wang, Dong Shen:
Iterative Learning Control for Locally Lipschitz Nonlinear Fractional-order Multi-agent Systems. J. Frankl. Inst. 357(11): 6671-6693 (2020) - [j27]Chen Liu, Dong Shen, Jinrong Wang:
A Two-Dimensional Approach to Iterative Learning Control with Randomly Varying Trial Lengths. J. Syst. Sci. Complex. 33(3): 685-705 (2020) - [j26]Dong Shen, Jian-Xin Xu:
An Iterative Learning Control Algorithm With Gain Adaptation for Stochastic Systems. IEEE Trans. Autom. Control. 65(3): 1280-1287 (2020) - [j25]Niu Huo, Dong Shen:
Encoding-Decoding Mechanism-Based Finite-Level Quantized Iterative Learning Control With Random Data Dropouts. IEEE Trans Autom. Sci. Eng. 17(3): 1343-1360 (2020) - [j24]Dong Shen, Ganggui Qu:
Performance Enhancement of Learning Tracking Systems Over Fading Channels With Multiplicative and Additive Randomness. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1196-1210 (2020) - [j23]Samer S. Saab, Dong Shen:
Multidimensional Gains for Stochastic Approximation. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1602-1615 (2020)
2010 – 2019
- 2019
- [j22]Niu Huo, Dong Shen:
Improving Boundary Level Calculation in Quantized Iterative Learning Control With Encoding and Decoding Mechanism. IEEE Access 7: 66623-66632 (2019) - [j21]Jing Wang, Chenchen Yu, Yi Liu, Dong Shen, YangQuan Chen:
Variable Gain Feedback PDα-Type Iterative Learning Control for Fractional Nonlinear Systems With Time-Delay. IEEE Access 7: 90106-90114 (2019) - [j20]Tianbo Zhang, Dong Shen, Chen Liu, Hongze Xu:
A Novel Iterative Learning Control Approach Based on Steady-State Kalman Filtering. IEEE Access 7: 99371-99380 (2019) - [j19]Wei Wei, Xiaofang Wei, Pengfei Xia, Min Zuo, Dong Shen:
Seizure Control by a Learning Type Active Disturbance Rejection Approach. IEEE Access 7: 164792-164802 (2019) - [j18]Shengda Liu, JinRong Wang, Dong Shen, Donal O'Regan:
Iterative learning control for differential inclusions of parabolic type with noninstantaneous impulses. Appl. Math. Comput. 350: 48-59 (2019) - [j17]Dong Shen, Xuefang Li:
A survey on iterative learning control with randomly varying trial lengths: Model, synthesis, and convergence analysis. Annu. Rev. Control. 48: 89-102 (2019) - [j16]Chen Liu, Dong Shen, Jinrong Wang:
Iterative learning control of multi-agent systems with random noises and measurement range limitations. Int. J. Syst. Sci. 50(7): 1465-1482 (2019) - [j15]Chun Zeng, Dong Shen, JinRong Wang:
Adaptive learning tracking for robot manipulators with varying trial lengths. J. Frankl. Inst. 356(12): 5993-6014 (2019) - [j14]Dahui Luo, JinRong Wang, Dong Shen, Michal Feckan:
Iterative learning control for fractional-order multi-agent systems. J. Frankl. Inst. 356(12): 6328-6351 (2019) - [j13]Dong Shen, Jianxin Xu:
Adaptive Learning Control for Nonlinear Systems With Randomly Varying Iteration Lengths. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1119-1132 (2019) - 2018
- [j12]Dong Shen, Jianxin Xu:
Distributed learning consensus for heterogenous high-order nonlinear multi-agent systems with output constraints. Autom. 97: 64-72 (2018) - [j11]JinRong Wang, Zijian Luo, Dong Shen:
Iterative learning control for linear delay systems with deterministic and random impulses. J. Frankl. Inst. 355(5): 2473-2497 (2018) - [j10]Jian Han, Dong Shen, Chiang-Ju Chien:
Terminal iterative learning control for discrete-time nonlinear systems based on neural networks. J. Frankl. Inst. 355(8): 3641-3658 (2018) - [j9]Chun Zeng, Dong Shen, JinRong Wang:
Adaptive learning tracking for uncertain systems with partial structure information and varying trial lengths. J. Frankl. Inst. 355(15): 7027-7055 (2018) - [j8]Dong Shen:
Data-Driven Learning Control for Stochastic Nonlinear Systems: Multiple Communication Constraints and Limited Storage. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2429-2440 (2018) - [j7]Dong Shen:
A Technical Overview of Recent Progresses on Stochastic Iterative Learning Control. Unmanned Syst. 6(3): 147-164 (2018) - 2017
- [j6]Dong Shen, Chao Zhang, Yun Xu:
Two updating schemes of iterative learning control for networked control systems with random data dropouts. Inf. Sci. 381: 352-370 (2017) - [j5]Dong Shen, Yanqiong Jin, Yun Xu:
Learning control for linear systems under general data dropouts at both measurement and actuator sides: A Markov chain approach. J. Frankl. Inst. 354(13): 5091-5109 (2017) - [j4]Xuefang Li, Dong Shen:
Two novel iterative learning control schemes for systems with randomly varying trial lengths. Syst. Control. Lett. 107: 9-16 (2017) - [j3]Dong Shen, Jian-Xin Xu:
A Novel Markov Chain Based ILC Analysis for Linear Stochastic Systems Under General Data Dropouts Environments. IEEE Trans. Autom. Control. 62(11): 5850-5857 (2017) - [j2]Dong Shen, Jian Han, Youqing Wang:
Stochastic Point-to-Point Iterative Learning Tracking Without Prior Information on System Matrices. IEEE Trans Autom. Sci. Eng. 14(1): 376-382 (2017) - [c1]Dong Shen, Jian-Xin Xu:
Zero-error tracking of iterative learning control using probabilistically quantized measurements. ASCC 2017: 1029-1034 - 2016
- [j1]Dong Shen, Wei Zhang, Jian-Xin Xu:
Iterative Learning Control for discrete nonlinear systems with randomly iteration varying lengths. Syst. Control. Lett. 96: 81-87 (2016)
Coauthor Index
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