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Center of Intelligent and Learning Systems
Prof. Dong SHEN's Group
College of Information Science and Technology, Beijing University of Chemical Technology

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Masters

2016

Photo of Miss Zeng ZENG Chun
Topic: Iterative Learning Control with Iteration-Varying Lengths Based on CEF

B.E., Beijing University of Chemical Technology, 2016

Awards:
[1] 2018 China National Scholarship
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. xx, pp. xxx, 2019.
2017

ChenLiu
LIU Chen
Topic: Iterative Learning Control for Multi-Agent Systems

B.E., Chang'an University, 2017

Journal Papers:
[1] Chen Liu, Dong Shen, JinRong Wang. Iterative Learning Control of Multi-Agent Systems under Communication Noises and Measurement Range Limitations. Submitted for publication.
[2] Dong Shen, Chen Liu, Lanjing Wang, Xinghuo Yu. Iterative Learning Tracking for Multi-Sensor Systems: A Weighted Optimization Approach. Submiited for publication.
[3] Chen Liu, Dong Shen, JinRong Wang. A 2D Approach to Iterative Learning Control with Randomly Varying Trial Lengths. Journal of Systems Science and Complexity, accepted for publication.
[4] Chen Liu, Dong Shen, JinRong Wang. Adaptive learning control for general nonlinear systems with nonuniform trial lengths, initial state deviation, and unknown control direction. Submitted for publication.
2018

Ganggui Qu
QU Ganggui
Topic: Iterative Learning Control with Fading Channels

B.E., North China Electric Power University (Baoding), 2018

Journal Papers:
[1] Ganggui Qu, Dong Shen. Stochastic Iterative Learning Control With Faded Signals. Submitted for publication.
[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. Submitted for publication.

KunZeng
ZENG Kun
Topic: Iterative Learning Containment Control for Multi-Agent Systems

B.E., Beihang University, 2016

Journal Papers:
[1] to be released



NiuHuo
HUO Niu
Topic: Quantized Iterative Learning Control

B.E., Zhengzhou University of Aeronautics, 2017

Journal Papers:
[1] Niu Huo, Dong Shen. Finite-level Quantized Iterative Learning Control with Encoding and Decoding Mechanism with Random Data Dropouts. Submitted for publication.

Undergraduates

Liu Yanze
LIU Yanze
Topic: undefined
2019.04-date

Department of Automation, Beijing University of Chemical Technology
Visiting Students






Alumni

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. Submitted for publication.
[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. Submitted for publication.

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. Submiited 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.