Professor
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D. Shen
Professor, PhD, PhD Supervisor
主Main research direction：control and optimization of stochastic systems, iterative learning control, machine learning, artificial intelligence, stochastic approximation. More information,
Office：Room 207, No. 4 Teach Building 010-82507078&dshen@ruc.edu.cn
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Educational experience
- Ph.D. Degree in Mathematics (Operations Research and Cybernetics), 2005.09 - 2010.07
Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences
- B.S. Degree in Mathematics (Information and Computing Science), 2001.09 - 2005.07
School of Mathematics, Shandong University -
Work experience
- Renmin University of China, Professor, 2019.12-
- Beijing University of Chemical Technology, Professor, 2018.01-2019.12
- Beijing University of Chemical Technology, Associate Professor, 2012.06 - 2017.12
- Institute of Automation, Chinese Academy of Sciences, Postdoctoral Fellow, 2010.07 - 2012.05
- RMIT University, Australia, Visiting Academic, 2019.07-2019.08
- National University of Singapore, Singapore, Visiting Scholar, 2016.02-2017.02 -
Scientific research achievements
Please refer to http://shendong.tech
▶ Grants
1. 61673045, Robustness of Iterative Learning Control under Incomplete Data and Control System Design, National Natural Science Foundation of China, 2017.01-2020.12, ¥ 620 000.00
2. 4152040, Design and Analysis of Iterative Learning Control under Random Packet Losses, Beijing Natural Science Foundation, 2015.01-2017.12, ¥ 140 000.00
3. 61304085, Design and Analysis of Iterative Learning Control Algorithms of Stochastic Systems for Unusual Tracking References, National Natural Science Foundation of China, 2014.01-2016.12, ¥ 220 000.00
▶ Books
1. Dong Shen, Xuefang Li. Iterative Learning Control for Systems with Iteration-Varying Trial Lengths: Synthesis and Analysis. Springer Singapore, 2019.
2. Dong Shen. Iterative Learning Control with Passive Incomplete Information: Algorithm Design and Convergence Analysis. Springer Singapore, 2018.
3. Shiping Yang, Jian-Xin Xu, Xuefang Li, Dong Shen. Iterative Learning Control for Multi-Agent Systems Coordination. Wiley & IEEE Press, 2017.
4. Dong Shen. Stochastic Iterative Learning Control. Science Press, 2016 (In Chinese).
▶ Selected Papers
11. Dong Shen*, Ganggui Qu, Xinghuo Yu. Averaging Techniques for Balancing Learning and Tracking Abilities Over Fading Channels. IEEE Transactions on Automatic Control, in press. (IF: 5.625, Top)
10. Dong Shen*, Xinghuo Yu. Learning Tracking Control Over Unknown Fading Channels Without System Information. IEEE Transactions on Neural Networks and Learning Systems, in press. (IF: 8.793, Top)
9. Dong Shen*, Chao Zhang. Zero-Error Tracking Control under Unified Quantized Iterative Learning Framework via Encoding-Decoding Method. IEEE Transactions on Cybernetics, in press. (IF: 11.079, Top)
8. Dong Shen*, Chen Liu, Lanjing Wang, Xinghuo Yu. Iterative Learning Tracking for Multi-Sensor Systems: A Weighted Optimization Approach. IEEE Transactions on Cybernetics, in press. (IF: 11.079, Top)
7. Dong Shen*, Jian-Xin Xu. A New Iterative Learning Control Algorithm with Gain Adaptation for Stochastic Systems. IEEE Transactions on Automatic Control, vol. 65, no. 3, pp. 1280-1287, 2020. (IF: 5.093, Top)
6. Dong Shen*, Ganggui Qu. Performance Enhancement of 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. (IF: 11.683, Top)
5. Dong Shen*, Jian-Xin Xu. Adaptive Learning Control for Nonlinear Systems with Randomly Varying Iteration Lengths. IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 4, pp. 1119-1132, 2019. (IF: 7.982, Top)
4. Dong Shen*, Jian-Xin Xu. Distributed Learning Consensus for Heterogenous High-Order Nonlinear Multi-Agent Systems with Output Constraints. Automatica, vol. 97, no. 64-72, 2018. (IF: 6.126, Top)
3. Dong Shen*. Data-Driven Learning Control for Stochastic Nonlinear Systems: Multiple Communication Constraints and Limited Storage. IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 6, pp. 2429-2440, 2018. (IF: 6.108, Top)
2. Dong Shen*, Jian-Xin Xu. A Novel Markov Chain Based ILC Analysis for Linear Stochastic Systems Under General Data Dropouts Environments. IEEE Transactions on Automatic Control, vol. 62, no. 11, pp. 5850-5857, 2017. (IF: 4.270, Top)
1. 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. (IF: 5.451, Top) -
Academic service
▶ Memberships
Member, Technical Committee on Data-Driven Control, Learning and Optimization, CAA, 2015-
Deputy Secretary General, TC on Data-Driven Control, Learning and Optimization, CAA, 2017.12-
Member, Technical Committee on Hybrid Intelligence, CAA, 2017-
Senior Member, IEEE, 2017-present; Member, IEEE, 2010-2017
Mathematical Reviews/MathSciNet Reviewer，Number 138232
▶ Editorial Positions
Editor-in-Chief, Springer Book Series Intelligent Control and Learning Systems, 2019-
Associate Editor, IEEE Access, 2019.02-
Guest Editor, IEEE Access, Special Section on Design and Analysis Techniques in Iterative Learning Control, 2019
▶ Conferences Service
2020，Publication Chair, IEEE 9th Data Driven Control and Learning Systems Conference
2019，Publication Chair, IEEE 8th Data Driven Control and Learning Systems Conference
2018，Publication Chair, IEEE 7th Data Driven Control and Learning Systems Conference
2017，IPC Member and Associate Editor, the 2017 Asian Control Conference
2017，Invited Session Chair, IEEE 6th Data Driven Control and Learning Systems Conference
2016，Publicity Chair, the 5th Data Driven Control and Learning System Conference -
Honorary Award
2019 AJC Outstanding Reviewer of 2018
2018 IEEE 7th Data Driven Control and Learning Systems Conference Best Paper Award Finalist
2017 The Hundred Young Talent Program of BUCT
2017 Outstanding Reviewer for IEEE Transactions on Automatic Control
2015 The 2nd Short-Course (WEIKE) Teaching Competition (Second Prize, Beijing Division)
2014 IEEE CSS Beijing Chapter Young Author Prize
2012 The Wentsun Wu Artificial Intelligence S&T Progress Award (Second Prize, Place No. 5)