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Prof. Dong SHEN's Group
Center of Intelligent and Learning Systems
School of Mathematics, Renmin University of China

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Students CURRENT MEMBERs

Doctor

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


M.E., Beijing University of Chemical Technology





XYZ
ZHAO Xingying | 2020
Topic: Machine Learning

M.E., Beihang University




JiaxiQian QIAN Jiaxi | 2021
Topic: Pending

B.S.. Jilin University


Master

Ganggui Qu
QU Ganggui | 2018
Topic: Iterative Learning Control over Fading Channels

B.E., North China Electric Power University (Baoding)

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 Through Fading Channels. Submitted 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. Submitted for publication.

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, 2020.



NiuHuo
HUO Niu | 2018
Topic: Quantized Iterative Learning Control

B.E., Zhengzhou University of Aeronautics

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. On Performance Analysis of Probabilistically Quantized Learning
Control Schemes. Submitted for publication.

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






ZihanLi
LI Zihan | 2021
Topic: Pending

B.S., Hunan University


Undergraduates

Liu Yanze
LIU Yanze | 2019
Topic: MPC-ILC for collaborative tracking

Department of Automation, Beijing University of Chemical Technology

Journal Papers:
[1] Yanze Liu, Dong Shen. An Efficient Algorithm for Collaborative Learning Model Predictive Control of Nonlinear System. Submitted for publication.





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.


Temp
DING Cong | Visiting Master | 2020
Topic: Iterative Learning Control
From Renmin University of China

PAST MEMBERs
Alumni

ChenLiu LIU Chen | M.E.
Graduated in 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 2D 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 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 in 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 in 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 in 2018

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 in 2018

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 in 2017

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 in 2017

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 in 2016

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 in 2016

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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