Shen's Group

[20200720] Our paper "A Two-Dimensional Approach to Iterative Learning Control with Randomly Varying Trial Lengths" has been officially assigned in an issue of Journal of Systems Science and Complexity (vol. 33, no. 3). [Link]
[20200719] The paper "Averaging Techniques for Balancing Learning and Tracking Abilities Over Fading Channels" has been accepted for publication in IEEE Transactions on Automatic Control as a regular paper.
[20200717] The paper "Iterative Learning Control Using Faded Measurements Without System Information: A Gradient Estimation Approach" has been accepted for publication in International Journal of Systems Science.
[20200715] The paper "Iterative Learning Control for Locally Lipschitz Nonlinear Fractional-order Multi-Agent Systems" has been assigned in an issue. Click the link for free download before Sept. 02, 2020.
[20200704] Our paper "Learning Tracking Control Over Unknown Fading Channels Without System Information" has been accepted for publication in IEEE Transactions on Neural Networks and Learning Systems. This paper was prepared by Prof. Xinghuo Yu and myself.
[20200703] Our paper "Encoding-decoding Mechanism-based Finite-level Quantized Iterative Learning Control with Random Data Dropouts" has been assigned in an issue of IEEE Transactions on Automation Science and Engineering. [Link]
[20200618] Our paper "Zero-Error Tracking Control under Unified Quantized Iterative Learning Framework via Encoding-Decoding Method" has been accepted for publication in IEEE Transactions on Cybernetics. This work was completed by Mr. Chao Zhang and myself. [Link]
[20200508] The paper "Multidimensional Gains for Stochastic Approximation" has been assigned in an issue of IEEE Transactions on Neural Netwoks and Learning Systems. [Link]
[20200419] The paper "Iterative Learning Control for Locally Lipschitz Nonlinear Fractional-order Multi-agent Systems" has been accepted for publication in Journal of the Franklin Institute. This manuscript was prepared by Prof. Wang, Ms. Luo, and myself.
[20200405] Our paper, Performance Enhancement of Learning Tracking Systems Over Fading Channels with Multiplicative and Additive Randomness, has been published in an issue of IEEE Transactions on Neural Networks and Learning Systems. Please refer to the official version. [Link]
[20200229] Our paper "A New Iterative Learning Control Algorithm with Gain Adaptation for Stochastic Systems" has been published in issue 3 volumn 65 of IEEE Transactions on Automatic Control.
[20200227] The paper, Iterative Learning Control for Output Tracking of Systems with Unmeasurable States, prepared by Prof. Xuefang Li and myself, has been accepted by the 21st IFAC Congress, which will be held in Berlin.
[20200222] The paper, Glucose Outcomes of a Learning-Type Artificial Pancreas with an Unannounced Meal in Type 1 Diabetes, has been accepted for publication in Computer Methods and Programs in Biomedicine. The work was led by Prof. Youqing Wang at BUCT.
[20200123] The paper, Iterative Learning Control for Nonlinear Differential Inclusion Systems, has been accepted for publication in International Journal of Robust and Nonlinear Control. This manuscript was prepared by Prof. Wang, Dr. Liu, Prof. Feckan, and myselef.
[20200101] Our annual report for 2019 has been released.
[20200101] CILS wish all of you Happy 2020.

Dong SHEN (M'10-SM'17) received the B.S. degree in mathematics from Shandong University, Jinan, China, in 2005. He received the Ph.D. degree in mathematics from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), Beijing, China, in 2010 (supervised by Prof. Han-Fu Chen, IEEE Fellow, IFAC Fellow).

From 2010 to 2012, he was a Post-Doctoral Fellow with the Institute of Automation, CAS (advised by Prof. Fei-Yue Wang, IEEE Fellow, IFAC Fellow). From 2016 to 2017, he was a visiting scholar at National University of Singapore (with Prof. Jian-Xin Xu, IEEE Fellow). From 2019 July to August, he was a visiting scholar at RMIT University (with Prof. Xinghuo Yu, IEEE Fellow). From 2012 to 2019, he has been with College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China. Now, he is a Full Professor of Renmin University of China.

His current research interests include iterative learning control, stochastic control and optimization, machine learning and its applications. He has published more than 120 refereed journal and conference papers. He is the (co-)author of Iterative Learning Control for Systems with Iteration-Varying Trial Lengths (Springer, 2019), Iterative Learning Control with Passive Incomplete Information (Springer, 2018), Iterative Learning Control for Multi-Agent Systems Coordination (Wiley, 2017), and Stochastic Iterative Learning Control (Science Press, 2016, in Chinese), and co-editor of Service Science, Management and Engineering: Theory and Applications (Academic Press and Zhejiang University Press, 2012). Dr. Shen received the IEEE CSS Beijing Chapter Young Author Prize in 2014 and the Wentsun Wu Artificial Intelligence Science and Technology Progress Award in 2012. He is an Associate Editor of IEEE Access and IET Cyber-Systems and Robotics.

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Dong Shen on ResearchGate