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Prof. SHEN's Group
Distributed Artificial Intelligence Laboratory, ERC-FCDE, MoE
School of Mathematics, Renmin University of China


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StudentsCURRENT MEMBERs

Faculty

DS
Prof. Dong SHEN

E-mail: dshen [at] ieee.org
Tel: 010-82507078
Office: Rm 207, Mathematics Building
Web: @DAI @RUC @ResearchGate
JH
Assoc. Prof. Hao JIANG

Email: jiangh [at] ruc.edu.cn
Tel: 010-82500688
Office: Rm 327, Information Building
Web: @DAI @RUC @ResearchGate
SQJ
Assoc. Prof. Qijiang SONG

Emai: sqj [at] ruc.edu.cn
Tel: 010-82500693
Office: Rm 337, Information Building
Web: @DAI @RUC @ResearchGate
FengxiaLiu
Postdoctor Fengxia Liu

Email:
Topic: Nonlinear  evolution  equations(well-posedness, IBVP, soliton solution)
Ph. D Candidate

SHH
HUANG Shunhao | 2020
Topic: ML-based Learning Control


M.E., Beijing University of Chemical Technology

Publications:


XYZ
ZHAO Xingying | 2020
Topic: Machine Learning

M.E., Beihang University

Publications:
[1] Xing-Ying Zhao, Dong Shen. PowerFace: Power-Cosine Margin Loss Combining With Extensional Logits for Deep Face Recognition. Submitted.


JiaxiQian QIAN Jiaxi | 2021
Topic: Distributed Optimization

B.S., Jilin University

Publications:
[1] Dong Shen, Jiaxi Qian. Recent Advances in Iterative Learning Control with Fading Channel. 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS'21), Suzhou, China, 14-16 May, 2021.

NiuHuo HUO Niu | 2021
Topic: Quantized Iterative Learning Control

M.E., Beijing University of Chemical Technology

Publications:
[1]
Niu Huo, Hao Jiang, Dong Shen, Jinrong Wang. Finite-Level Uniformly Quantized Learning Control with Random Data Dropouts. Submitted.
[2] Dong Shen, Niu Huo, Samer S. Saab. A Probabilistically Quantized Learning Control Framework for Networked Linear Systems, IEEE Transactions on Neural Networks and Learning Systems, accepted for publication.

Master Candidate
KunZeng
ZENG Kun | 2018
Topic: Iterative Learning Containment Control for Multi-Agent Systems

B.E., Beihang University

Book Chapter:
[1] Kun Zeng. Iterative Learning Control for FinTech. Proceedings of the First International Forum on Financial Mathematics and Financial Technology, Chapter 15. Springer, 2021.

YifanFeng
FENG Yifan | 2019
Topic: scRNA-seq data and algorithms design

B.S., Northeastern University
YiyaoDou
DOU Yiyao | 2019
Topic: scRNA-seq data and its applications

B.S.,China Agricultural University
Cheng
CHENG Xiang | 2020
Topic: Variable Gain Design

B.S., University of Science and Technology Beijing
XunHe
HE Xun | 2020
Topic: Learning Control with Fading Information

B.S., Qufu Normal University


ZeyiZhang
ZHANG Zeyi | 2020
Topic: Collaborative Tracking Problem

B.S., Qingdao University

MengjieWang
WANG Mengjie | 2020
Topic: Machine learning on Bioinfomatics

B.S.,Jilin University
YutongAi
AI Yutong | 2020
Topic:Graph Neural Networks And its applications

B.S.,Renmin University of China
ZihanLi
LI Zihan | 2021
Topic: Finite-Iteration Learning Control

B.S., Hunan University
LuoQQ
LUO Qiaoqiao | 2021
Topic: Learning Control for Cyber-Physical Systems

B.S., Shandong University
YCWang
WANG Yingchao | 2021
Topic: Event-triggering Learning Control

B.S., Qufu Normal University
SGao
GAO Shuai | 2021
Topic: Learning Control Over Fading Channels

B.S., Shaanxi Normal University
YujianZhou
ZHOU Yujian | 2021
Topic: Machine learning and its applications

B.S., Tsinghua University
SenwenZhan
ZHAN Senwen | 2021
Topic: Machine learning and its applications

B.S., Huazhong University of Science and Technology
YixiangHuang
HUANG yixiang|2021
Topic: Machine learning and its applications

B.S., Shandong University

Undergraduates


Recruiting
Visiting Students

Tianbo
ZHANG Tianbo | Visiting PhD | 2019
Topic: Iterative Learning Control
From Beijing Jiaotong University

Journal Papers:
[1] Tianbo Zhang, Dong Shen,
Chen Liu, Hongze Xu. A Novel Iterative Learning Control Approach Based on Steady-state Kalman Filtering. IEEE Access, vol. 7, no. 1, pp. 99371-99380, 2019.
[2] Tianbo Zhang, Dong Shen, Hongze Xu, Shihui Jiang. Adaptive Fixed-Time Antilock Control of Levitation System of High-Speed Maglev Train. Submitted for publication.
[3] Shihui Jiang, Dong Shen, Tianbo Zhang, Yuewen Yin, Hongze Xu. Nonlinear Robust Composite Levitation Control for High-Speed EMS Train with Input Saturation and Track Irregularities. Submitted for publication.
[4] 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. Submitted for publication.


PAST MEMBERs

Ganggui Qu QU Ganggui | M.E.
Graduated 2021.06

Thesis:
Iterative Learning Control Over Fading Channel
Following Position:
Engineer in a company
Awards:
2019 China National Scholarship

Journal Papers:
[1] Ganggui Qu, Dong Shen. Stochastic Iterative Learning Control With Faded Signals. IEEE/CAA Journal of Automatica Sinica, vol. 6, no. 5, pp. 1196-1208, 2019.
[2] Dong Shen, Ganggui Qu, Qijiang Song. Learning Control for Networked Stochastic Systems With Fading Communication. IEEE Transactions on Systems, Man, and Cybernetics-Systems, accepted for publication.
[3] Dong Shen, Ganggui Qu. Learning Tracking Systems Over Fading Channels with Multiplicative and Additive Randomness. IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 4, pp. 1196-1210, 2020.
[4] Dong Shen, Ganggui Qu, Xinghuo Yu. Averaging Techniques for Balancing Learning and Tracking Abilities Over Fading Channels. IEEE Transactions on Automatic Control, accepted for publication.
[5] Ganggui Qu, Dong Shen, Qijiang Song, Xinghuo Yu. Point-to-Point Learning and Tracking for Networked Stochastic Systems With Fading Communications. Submitted for publication.
[6] Ganggui Qu, Dong Shen, Xinghuo Yu. Batch-Based Learning Consensus of Multi-Agent Systems With Faded Neighborhood Information. IEEE Transactions on Neural Networks and Learning Systems. accepted.

NiuHuo HUO Niu | M.E.
Graduated 2021.06

Thesis:
Research on Quantized Iterative Learning Control
Following Position:
PhD candidate, Renmin University of China
Awards:

2019 China National Scholarship
Journal Papers:
[1] Niu Huo, Dong Shen. Finite-level Quantized Iterative Learning Control with Encoding and Decoding Mechanism with Random Data Dropouts. IEEE Transactions on Automation Science and Engineering, vol. 17, no. 3, pp. 1343-1360, 2020.
[2] Niu Huo, Dong Shen. Improving Boundary Level Calculation in Quantized Iterative Learning Control with Encoding and Decoding Mechanism. IEEE Access, vol. 7, no. 1, pp. 66623-66632, 2019.
[3] Niu Huo, Dong Shen, Jinrong Wang. Finite-Level Uniformly Quantized Learning Control with Random Data Dropouts. Submitted for publication.
[4] Dong Shen, Niu Huo, Samer S. Saab. A Probabilistically Quantized Learning Control Framework for Networked Linear Systems, IEEE Transactions on Neural Networks and Learning Systems.

Liu Yanze LIU Yanze | B.E.
Graduated 2021.06

Bachelor Thesis:
Iterative Learning Control in Network Environments
Journal Papers:
[1] Yanze Liu, Dong Shen. An Efficient Algorithm for Collaborative Learning Model Predictive Control of Nonlinear System. ISA Transactions, accepted for publication.

ChenLiu LIU Chen | M.E.
Graduated 2020.06
Co-supervised by Shuming Tang

Thesis:
Consensus Tracking Iterative Learning Control for Multi-Agent Systems
Following Position:
PhD candidate, Xi'an Jiaotong University
Awards:
2019 China National Scholarship
Journal Papers:
[1] Chen Liu, Dong Shen, JinRong Wang. Iterative Learning Control of Multi-Agent Systems under Communication Noises and Measurement Range Limitations. International Journal of Systems Science, vol. 50, no. 7, pp. 1465-1482, 2019.
[2] Chen Liu, Dong Shen, JinRong Wang. A Two-Dimensional Approach to Iterative Learning Control with Randomly Varying Trial Lengths. Journal of Systems Science and Complexity, vol. 33, no. 3, pp. 685-705, 2020.
[3] Chen Liu, Dong Shen, JinRong Wang. Adaptive learning control for general nonlinear systems with nonuniform trial lengths, initial state deviation, and unknown control direction. International Journal of Robust and Nonlinear Control, vol. 29, no. 17, pp. 6227-6243, 2019.

[4] Dong Shen, Chen Liu,
Lanjing Wang, Xinghuo Yu. Iterative Learning Tracking for Multi-Sensor Systems: A Weighted Optimization Approach. IEEE Transactions on Cybernetics, accepted for publication.
[5] Tianbo Zhang, Dong Shen, Chen Liu, Hongze Xu. A Novel Iterative Learning Control Approach Based on Steady-state Kalman Filtering. IEEE Access, vol. 7, no. 1, pp. 99371-99380, 2019.

Photo of Miss Zeng ZENG Chun | M.E.
Graduated 2019.06

Thesis:
Iterative Learning Control with Iteration-Varying Lengths Based on CEF
Following Position:
China Electronics Technology Group Corporation (Institute 32)
Awards:
[1] 2018 China National Scholarship
[2] 2019 Excellent Master Thesis of BUCT
Journal Papers:
[1] Chun Zeng, Dong Shen, JinRong Wang. Adaptive Learning Tracking for Uncertain Systems with Partial Structure Information and Varying Trial Lengths. Journal of the Franklin Institute, vol. 355, no. 15, pp. 7027-7055, 2018.
[2] Chun Zeng, Dong Shen, JinRong Wang. Adaptive Learning Tracking for Robot Manipulators with Varying Trial Lengths. Journal of the Franklin Institute, vol. 356, no. 12, pp. 5993-6014, 2019.

Photo of Mr Zhang ZHANG Chao | M.E.
Graduated 2018.12 ahead of schedule

Thesis:
Quantized Iterative Learning Control Based on Encoding and Decoding Mechanism
Following Position:
CheetahMobile
Awards
[1] 2018 IEEE 7th DDCLS Best Paper Award Finalist
[2] 2017 China National Scholarship
[3] 2016 Top Scholarship of BUCT
Journal Papers:
[1] Dong Shen, Chao Zhang, Yun Xu. Two Compensation Schemes of Iterative Learning Control for Networked Control Systems with Random Data Dropouts. Information Sciences, vol. 381, pp. 352-370, 2017.
[2] Dong Shen, Chao Zhang. Learning Control for Discrete-Time Nonlinear Systems With Sensor Saturation and Measurement Noise. International Journal of Systems Sciences, vol. 48, no. 13, pp. 2764-2778, 2017.
[3] Dong Shen, Chao Zhang, Yun Xu. Intermittent and Successive ILC for Stochastic Nonlinear Systems with Random Data Dropouts. Asian Journal of Control, vol. 20, no. 3, pp. 1102-1114, 2018.
[4]
Dong Shen, Chao Zhang, Jian-Xin Xu. Distributed Neural Networks Based Learning Consensus Control for Heterogeneous Nonlinear Multi-Agent Systems. International Journal of Robust and Nonlinear Control, vol. 29, no. 13, pp. 4328-4347, 2019.
[5] Chao Zhang, Dong Shen. Zero-Error Convergence of Iterative Learning Control Based on Uniform Quantization with Encoding and Decoding Mechanism. IET Control Theory & Application, vol. 12, no. 14, pp. 1907-1915, 2018.
[6] Chao Zhang, Dong Shen. Zero-Error Learning Tracking Based on Quantized Data via Encoding-Decoding Mechanism at Both Measurement and Actuator Sides. IEEE Transactions on Cybernetics.

Photo of Miss Wang WANG Lanjing | M.E.
Graduated 2018.06

Thesis:
Iterative Learning Control for Continuous-time Nonlinear Systems with Iteration Varying Lengths
Followin position:
Sichuan Agricultural University
Awards:
[1] 2018 Excellent Master Thesis of BUCT
Journal Papers:
[1] Lanjing Wang, Xuefang Li, Dong Shen. Sampled-data-based Iterative Learning Control for Continuous-time Nonlinear Systems with Iteration-Varying Lengths. International Journal of Robust and Nonlinear Control, vol. 28, no. 8, pp. 3073-3091, 2018.
[2] Dong Shen, Chen Liu, Lanjing Wang, Xinghuo Yu. Iterative Learning Tracking for Multi-Sensor Systems: A Weighted Optimization Approach.
IEEE Transactions on Cybernetics, accepted for publication.

Photo of Mr Zhang ZHANG Fanshou | M.E.
Graduated 2018.06

Thesis:
Design and Analysis the Algorithms of Smart Car in Environmental Perception and Interaction
Co-supervised with Prof. Shuming Tang from Institute of Automation, CAS
Following position:
Umetrip

Yun Xu
XU Yun | M.E.
Graduated 2017.06

Thesis:
Iterative Learning Control under Active Incomplete Data
Following position:
State Administration of Taxation, PRC
Awards:
[1] 2017 Excellent Master Thesis of BUCT
[2] 2016 China National Scholarship
[3] 2015 Top Scholarship of BUCT
[4] 2014 Top Scholarship of BUCT
Journal Papers:
[1] 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. Journal of the Franklin Institute, vol. 354, no. 13, pp. 5091-5109, 2017.
[2] Yun Xu, Dong Shen, Xuhui Bu. Zero-Error Convergence of Iterative Learning Control Using Quantized Information. IMA Journal of Mathematical Control and Information, vol. 34, no. 3, pp. 1061-1077, 2017.
[3] Yun Xu, Dong Shen, Xiao-Dong Zhang. Stochastic Point-to-Point Iterative Learning Control Based on Stochastic Approximation. Asian Journal of Control, vol. 19, no. 5, pp. 1748-1755, 2017.
[4] Dong Shen, Chao Zhang, Yun Xu. Intermittent and Successive ILC for Stochastic Nonlinear Systems with Random Data Dropouts. Asian Journal of Control, vol. 20, no. 3, pp. 1102-1114, 2018.
[5] Yun Xu, Dong Shen, Youqing Wang. On Interval Tracking Performance Evaluation and Practical Varying Sampling ILC. International Journal of Systems Science, vol. 48, no. 8, pp. 1624-1634, 2017.
[6] Dong Shen, Chao Zhang, Yun Xu. Two Compensation Schemes of Iterative Learning Control for Networked Control Systems with Random Data Dropouts. Information Sciences, vol. 381, pp. 352-370, 2017.
[7] Dong Shen, Yun Xu. Iterative Learning Control for Discrete-time Stochastic Systems with Quantized Information. IEEE/CAA Journal of Automatica Sinica, vol. 3, no. 1, pp. 59-67, 2016.

Yanqiong
JIN Yanqiong | B.Eng.
Graduated 2017.06

Bachelor Thesis:
Iterative Learning Control with Data Dropouts at Both Sides
Following position:
M.E. Candidate, Beihang University
Journal Papers:
[1] Yanqiong Jin, Dong Shen. Iterative Learning Control for Nonlinear Systems with Data Dropouts at Both Measurement and Actuator Sides. Asian Journal of Control, vol. 20, no. 4, pp. 1624-1636, 2018.
[2] 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. Journal of the Franklin Institute, vol. 354, no. 13, pp. 5091-5109, 2017.

Jian Han HAN Jian | M.E.
Graduated 2016.06

Thesis:

Neural Networks Based Point-to-Point Iterative Learning Control
Following position:
Ph.D Candidate, University of Amsterdam, The Netherlands
Journal Papers:
[1] Jian Han, Dong Shen, Chiang-Ju Chien. Terminal Iterative Learning Control for Discrete-Time Nonlinear System Based on Neural Networks. Journal of the Franklin Institute, vol. 355, no. 8, pp. 3641-3658, 2018.
[2] Dong Shen, Jian Han, Youqing Wang. Stochastic Point-to-Point Iterative Learning Tracking With Unknown System Matrices. IEEE Transactions on Automation Science and Engineering, vol. 14, no. 1, pp. 376-382, 2017.
[3] Dong Shen, Jian Han, Youqing Wang. Convergence Analysis of ILC Input Sequence for Underdetermined Linear Systems. SCIENCE CHINA Information Sciences, vol. 60, ID: 099201, 2017.

Wei Zhang
ZHANG Wei | M.E.
Graduated 2016.06

Thesis:
Iterative Learning Control for Discrete-time Systems with Randomly Iteration-Varying Lengths
Following position:
State Grid Corporation of China
Journal Papers:
[1] Dong Shen, Wei Zhang, Jian-Xin Xu. Iterative Learning Control for Discrete Nonlinear Systems with Randomly Iteration Varying Lengths. Systems & Control Letters, vol. 96, pp. 81-87, 2016.
[2] Dong Shen, Wei Zhang, Youqing Wang, Chiang-Ju Chien. On Almost Sure and Mean Square Convergence of P-type ILC Under Randomly Varying Iteration Lengths. Automatica, vol. 63, no. 1, pp. 359-365, 2016.




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