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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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= Note = For a quick reference of our contributions, please refer to the LazyPack.

▶ Books
  1. Dong Shen. Variable Gain Design in Stochastic Iterative Learning Control. Springer, 2024.
  2. Dong Shen, Xinghuo Yu. Iterative Learning Control Over Random Fading Channels. CRC Press, 2024. [Click for more details]
  3. Dong Shen, Xuefang Li. Iterative Learning Control for Systems with Iteration-Varying Trial Lengths: Synthesis and Analysis. Springer Singapore, 2019. [Click for more details]
  4. Dong Shen. Iterative Learning Control with Passive Incomplete Information: Algorithm Design and Convergence Analysis. Springer Singapore, 2018. [Click for more details]
  5. Shiping Yang, Jian-Xin Xu, Xuefang Li, Dong Shen. Iterative Learning Control for Multi-Agent Systems Coordination. Wiley, 2017. [Click for more details]
  6. Dong Shen. Stochastic Iterative Learning Control. Science Press, 2016 (in Chinese). [Click for more details]
  7. Gang Xiong, Zhong Liu, Xiwei Liu, Fenghua Zhu, Dong Shen (Eds). Service Science, Management and Engineering: Theory and Applications. Academic Press & Zhejiang University Press, 2012. [Click for more details]
Gain Fading VaryLengthBook Book:ILCwPII ILC for MAS SILC SSME

▶ Accepted Paper
  1. Wanzheng Qiu, JinRong Wang, Dong Shen. Iterative Learning based Convergence Analysis for Nonlinear Impulsive Differential Inclusion Systems with Randomly Varying Trial Lengths. International Journal of Adaptive Control and Signal Processing, [WebLink]
  2. Deqing Huang, Wei Yu, Dong Shen, Xuefang Li. Data-Driven Distributed Learning Control for High-Speed Trains Considering Quantization Effects and Measurement Bias. IEEE Transactions on Vehicular Technology. [WebLink] TOP, REGULAR PAPER
  3. Zihan Li, Dong Shen, Xinghuo Yu. A Multistage Update Rule Framework for Iterative Learning Control Systems. IEEE Transactions on Automation Science and Engineering, [WebLink] TOP, REGULAR PAPER
  4. Zihan Li, Dong Shen. Filter-Free Parameter Estimation Method for Continuous-Time Systems. IEEE Transactions on Automation Science and Engineering. [WebLink] TOP, REGULAR PAPER
  5. Xiang Cheng, Hao Jiang, Dong Shen. A Novel Accelerated Multistage Learning Control Mechanism via Virtual Performance Reduction. IEEE Transactions on Neural Networks and Learning Systems, [WebLink] TOP, REGULAR PAPER
▶ Journal Papers
  1. Shunhao Huang, Dong Shen, JinRong Wang. Point-to-Point Learning Tracking Control via Fading Communication Using Reference Update Strategy. IEEE Transactions on Cybernetics, vol. 54, no. 4, pp. 2284-2294, 2024. [WebLink] TOP, REGULAR PAPER
  2. Wanzheng Qiu, JinRong Wang, Dong Shen. Quantized Iterative Learning Control for Impulsive Differential Inclusion Systems with Data Dropouts. ISA Transactions, vol. 145, pp. 285-297, 2024. [WebLink]
  3. Wanzheng Qiu, JinRong Wang, Dong Shen. Iterative Learning Control for Differential Inclusion Systems with Random Fading Channels by Varying Average Technique. Chaos, vol. 34, no. 2, Article Number: 023129, 2024. [WebLink]
  4. Shuai Gao, Qijiang Song, Dong Shen. Distributed Learning Control for High-Speed Trains With Operation Safety Constraints. IEEE Transactions on Cybernetics, vol. 54, no. 3, pp. 1794-1805, 2024. [WebLink] TOP, REGULAR PAPER
  5. Shuai Gao, Qijiang Song, Hao Jiang, Dong Shen. History Makes Future: Iterative Learning Control for High-Speed Trains. IEEE Intelligent Transportation Systems Magazine, vol. 16, no. 1, pp. 6-21, 2024. [WebLink]
  6. Hao Jiang, Dong Shen, Shunhao Huang, Xinghuo Yu. Accelerated Learning Control for Point-to-Point Tracking Systems. IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 1, pp. 1265-1277, 2024. [WebLink] TOP, REGULAR PAPER
  7. Tianbo Zhang, Shihui Jiang, Dong Shen. Collaborative Control of a Levitation Module for Maglev Trains with Physical Contact Prevention and User-defined Convergence Time. International Journal of Systems Science, vol. 55, no. 2, pp. 355-369, 2024. [WebLink]
  8. Zeyi Zhang, Hao Jiang, Dong Shen, Samer S. Saab. Data-driven Learning Control Algorithms Meeting Unachievable Tracking Problems. IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 1, pp. 205-218, 2024. [WebLink] TOP, PAPER
  9. Zeyi Zhang, Dong Shen. Randomized Kaczmarz Algorithm with Averaging and Block Projection. BIT Numerical Mathematics, vol. 64, Article number: 1, 2024.  [WebLink]
  10. Jiaxi Qian, Dong Shen. A Novel Iterative Learning Control Scheme Based on Broyden-class Optimization Method. International Journal of Robust and Nonlinear Control, vol. 34, no. 1, pp. 321-340, 2024. [WebLink]
  11. Xingying Zhao, Dong Shen. FedSW: Federated Learning with Adaptive Sample Weights. Information Sciences, vol. 654, Article 119873, 2024. [WebLink] TOP
  12. Wanzheng Qiu, Michal Feckan, JinRong Wang, Dong Shen. Iterative Learning Control for Conformable Stochastic Impulsive Differential Systems With Randomly Varying Trial Lengths. International Journal of Nonlinear Sciences and Numerical Simulation,  vol. 24, no. 5, pp. 1863-1884, 2023. [WebLink]
  13. Hongwei Luo, JinRong Wang, Dong Shen. Learning ability analysis for linear discrete delay systems with iteration-varying trial length. Chaos, Solitons & Fractals, vol. 171, Article ID: 113428, 2023. [WebLink] TOP
  14. Xudong Gui, JinRong Wang, Dong Shen. Observability for Markovian Jump Boolean Network with Random Delay Effect in States. Qualitative Theory of Dynamical Systems, vol. 22, Article Number: 21, 2023. [WebLink]
  15. Guanli Xiao, JinRong Wang, Dong Shen. Fixed-time Adaptive Consensus for Stochastic Multi-Agent Systems with Uncertain Actuator Faults. ISA Transactions, vol. 137, pp. 369-378, 2023. [WebLink]
  16. Min Zhou, JinRong Wang, Dong Shen. Iterative Learning Control for Continuous-Time Multi-Agent Differential Inclusion Systems With Full Learnability. Chaos, Solitons & Fractals, vol. 174, article ID: 113895, 2023.  [WebLink] TOP
  17. Mingxue Liao, Dong Shen, Pin Lv. A Unified Model of Data Uncertainty and Data Relation Uncertainty. Knowledge-Based Systems, vol. 278, article ID: 110811, 2023. [WebLink] TOP
  18. Xiang Cheng, Hao Jiang, Dong Shen, Xinghuo Yu. A Novel Adaptive Gain Strategy for Stochastic Learning Control. IEEE Transactions on Cybernetics, vol. 53, no. 8, pp. 5264-5275, 2023. [WebLink] TOP, REGULAR PAPER
  19. Ganggui Qu, Dong Shen, Xinghuo Yu. Batch-Based Learning Consensus of Multiagent Systems With Faded Neighborhood Information. IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 4, pp. 2965-2977, 2023.  [WebLink] TOP, REGULAR PAPER
  20. Dong Shen. Practical Learning-Tracking Framework Under Unknown Nonrepetitive Channel Randomness. IEEE Transactions on Automatic Control, vol. 68, no. 6, pp. 3331-3347, 2023. [WebLink] TOP, REGULAR PAPER
  21. Tianbo Zhang, Dong Shen, Shihui Jiang, Hongze Xu. Adaptive Fixed-Time Antilock Control of Levitation System of High-Speed Maglev Train. IEEE Transactions on Intelligent Vehicles, vol. 8, no. 5, pp. 3394-3404, 2023. [WebLink] REGULAR PAPER
  22. Ganggui Qu, Dong Shen, Qijiang Song, Xinghuo Yu. Point-to-Point Learning and Tracking for Networked Stochastic Systems with Fading Communications. IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 6, pp. 3600-3612, 2023. [WebLink] TOP, REGULAR PAPER
  23. Chen Liu, Xiaoe Ruan, Dong Shen, Hao Jiang. Optimal Learning Control Scheme for Discrete-Time Systems with Nonuniform Trials. IEEE Transactions on Cybernetics, vol. 53, no. 6, pp. 3639-3650, 2023. [WebLink] TOP, REGULAR PAPER
  24. Zihan Li, Dong Shen, Xinghuo Yu. Enhancing Iterative Learning Control With Fractional Power Update Law. IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 5, pp. 1137-1149, 2023. [WebLink] TOP
  25. Xun He, Dong Shen. Distributed Iterative Learning Temperature Control for Large-Scale Buildings. International Journal of Robust and Nonlinear Control, vol. 33, no. 7, pp. 4210-4227, 2023. [WebLink]
  26. Niu Huo, Hao Jiang, Dong Shen, JinRong Wang. Finite-Level Uniformly Quantized Learning Control with Random Data Dropouts. International Journal of Robust and Nonlinear Control,  vol. 33, no. 7, pp. 4056-4075, 2023. [WebLink]
  27. Ronghu Chi, Huaying Li, Dong Shen, Zhongsheng Hou, Biao Huang. Enhanced P-type Control: Indirect Adaptive Learning from Set-point Updates. IEEE Transactions on Automatic Control, vol. 68, no. 3, pp. 1600-1613, 2023. [WebLink] TOP, REGULAR PAPER
  28. 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. Journal of the Franklin Institute, vol. 360, no. 4, pp. 2635-2659, 2023. [WebLink]
  29. Hao Jiang, Xun He, Qijiang Song, Dong Shen. Decentralized Learning Control for Large-Scale Systems with Gain Adaptation Mechanism. Information Sciences, vol. 623, pp. 539-558, 2023. [WebLink] TOP
  30. 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, vol. 33, no. 12, pp. 7559-7573, 2022.  [WebLink] TOP, REGULAR PAPER
  31. Shihui Jiang, Dong Shen, Tianbo Zhang, Hongze Xu. Nonlinear Robust Composite Levitation Control for High-Speed EMS Trains with Input Saturation and Track Irregularities. IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, pp. 20323-20336, 2022.  [WebLink] TOP, REGULAR PAPER
  32. Xianghua Jin, JinRong Wang, Dong Shen. Representation and Stability of Solutions for Impulsive Discrete Delay Systems with Linear Parts Defined by Non-Permutable Matrices. Qualitative Theory of Dynamical Systems, vol. 21, Article No. 152, 2022
  33. Min Zhou, JinRong Wang, Dong Shen. Iterative Learning Based Consensus Control for Distributed Parameter Type Multi-Agent Differential Inclusion Systems With Time-Delay. Computers and Mathematics with Applications, vol. 127, pp. 25-47, 2022. [WebLink] TOP
  34. Xuefang Li, Dong Shen, Beichen Ding. Iterative Learning Control for Output Tracking of Nonlinear Systems With Unavailable State Information. IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 9, pp. 5085-5092, 2022. [WebLink] TOP, BRIEF PAPER
  35. Dong Shen, Samer S. Saab. Noisy Output Based Direct Learning Tracking Control with Markov Nonuniform Trial Lengths Using Adaptive Gains. IEEE Transactions on Automatic Control, vol. 67, no. 8, pp. 4123-4130, 2022. [WebLink] TOP
  36. Fazhi Song, Yang Liu, Dong Shen, Li Li, Jiubin Tan. Learning Control for Motion Coordination in Wafer Scanners: Towards Gain Adaptation. IEEE Transactions on Industrial Electronics, vol. 69, no. 12, pp. 13428-13438, 2022. [WebLink] TOP, REGULAR PAPER
  37. Min Zhou, JinRong Wang, Dong Shen. Iterative Learning Based Consensus Control for Distributed Parameter Type Multi-Agent Differential Inclusion Systems. International Journal of Robust and Nonlinear Control, vol. 32, no. 12, pp. 6785-6804, 2022. [WebLink]
  38. Xiaokai Cao, Michal Feckan, Dong Shen, JinRong Wang. Iterative Learning Control for Impulsive Multi-Agent Systems with Varying Trial Lengths. Nonlinear Analysis: Modelling and Control, vol. 27, no. 3, pp. 445-465, 2022. [WebLink]
  39. Hao Jiang, Dong Shen, Wai-Ki Ching, Yushan Qiu. A High-Order Norm-Product Regularized Multiple Kernel Learning Framework for Kernel Optimization. Information Sciences, vol. 606, pp. 72-91, 2022. [WebLink] TOP
  40. Dong Shen, Ganggui Qu, Qijiang Song. Learning Control for Networked Stochastic Systems with Random Fading Communication. IEEE Transactions on Systems, Man, and Cybernetics-Systems, vol. 52, no. 6, pp. 3659-3670, 2022. [WebLink] TOP, REGULAR PAPER
  41. Dong Shen, Chao Zhang. Zero-Error Tracking Control under Unified Quantized Iterative Learning Framework via Encoding-Decoding Method. IEEE Transactions on Cybernetics, vol. 52, no. 4, pp. 1979-1991, 2022.  [WebLink] TOP, REGULAR PAPER
  42. Yanze Liu, Dong Shen. An Efficient Algorithm for Collaborative Learning Model Predictive Control of Nonlinear Systems. ISA Transactions, vol. 121, pp. 1-10, 2022. [WebLink]
  43. Dong Shen, Xinghuo Yu. Learning Tracking Over Unknown Fading Channels Based on Iterative Estimation. IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 1, pp. 48-60, 2022. [WebLink] TOP, REGULAR PAPER
  44. Samer S. Saab, Dong Shen, Mohammad Orabi, David Kors, Rayana Jaafar. Iterative Learning Control: Practical Implementation and Automation. IEEE Transactions on Industrial Electronics, vol. 69, no. 2, pp. 1858-1866, 2022. [WebLink] TOP, REGULAR PAPER
  45. Xianghua Jin, JinRong Wang, Dong Shen. Convergence Analysis for Iterative Learning Control of Impulsive Linear Discrete Delay Systems. Journal of Difference Equations and Applications, vol. 27, no. 5, pp. 739-762, 2021. [WebLink]
  46. Jing Wang, Nan Zhou, Sen Wang, Dong Shen, Boqun Li. Feedback-assisted PD-type quantized iterative learning control for systems with randomly varying trial lengths. Control and Decision, vol. 36, no. 10, pp. 2569-2576, 2021 (In Chinese).
  47. Dong Shen, Xinghuo Yu. Learning Tracking Control Over Unknown Fading Channels Without System Information. IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 6, pp. 2721-2732, 2021. [WebLink] TOP, REGULAR PAPER
  48. Dong Shen, Ganggui Qu, Xinghuo Yu. Averaging Techniques for Balancing Learning and Tracking Abilities Over Fading Channels. IEEE Transactions on Automatic Control, vol. 66, no. 6, pp. 2636-2651, 2021. [WebLink] TOP, REGULAR PAPER
  49. Dong Shen, Chen Liu, Lanjing Wang, Xinghuo Yu. Iterative Learning Tracking for Multi-Sensor Systems: A Weighted Optimization Approach. IEEE Transactions on Cybernetics, vol. 51, no. 3, pp. 1286-1299, 2021. [WebLink] TOP, REGULAR PAPER
  50. Xiaokai Cao, Michal Feckan, Dong Shen, JinRong Wang. Iterative Learning Control for Iterative Learning Control for Multi-Agent Systems with Impulsive Consensus Tracking. Nonlinear Analysis: Modelling and Control, vol. 26, no. 1, pp. 130-150, 2021. [WebLink]
  51. Dong Shen. Iterative Learning Control Using Faded Measurements Without System Information: A Gradient Estimation Approach. International Journal of Systems Science, vol. 51, no. 14, pp. 2675-2689, 2020. [WebLink]
  52. Nan Zhou, Sen Wang, Jing Wang, Dong Shen. Feedback-assisted PD-type quantized iterative learning control with communication constraints. Control Theory and Applications, vol. 37, no. 9, pp. 1989-2000, 2020 (In Chinese).
  53. Dahui Luo, JinRong Wang, Dong Shen. Consensus Tracking Problem for Linear Fractional Multi-Agent Systems with Initial State Error. Nonlinear Analysis: Modelling and Control, vol. 25, no. 5, pp. 766-785, 2020. [WebLink]
  54. 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. [WebLink]
  55. Dahui Luo, Jinrong Wang, Dong Shen. Iterative Learning Control for Locally Lipschitz Nonlinear Fractional-order Multi-Agent Systems. Journal of the Franklin Institute, vol. 357, pp. 6671-6693, 2020. [WebLink]
  56. Niu Huo, Dong Shen. Encoding-decoding Mechanism-based Finite-level Quantized Iterative Learning Control with Random Data Dropouts. IEEE Transactions on Automation Science and Engineering, vol. 17, no. 3, pp. 1343-1360, 2020. [WebLink] REGULAR PAPER
  57. Lulu Song, Changqing Liu, Wenying Yang, Jinping Zhang, Xiaomu Kong, Bo Zhang, Xiaoping Chen, Na Wang, Dong Shen, Zhaoqing Li, Xian Jin, Ying Shuai, Youqing Wang. Glucose Outcomes of a Learning-Type Artificial Pancreas with an Unannounced Meal in Type 1 Diabetes. Computer Methods and Programs in Biomedicine, vol. 191, ID: 105416, 2020. [WebLink]
  58. Samer S. Saab, Dong Shen. Multidimensional Gains for Stochastic Approximation. IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 5, pp. 1602-1615, 2020. [WebLink] TOP, REGULAR PAPER
  59. Shengda Liu, JinRong Wang, Dong Shen, Michal Feckan. Iterative Learning Control of Nonlinear Differential Inclusion Systems. International Journal of Robust and Nonlinear Control, vol. 30, no. 7, pp. 2937-2952, 2020. [WebLink] TOP
  60. 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. [WebLink] TOP, REGULAR PAPER
  61. Dong Shen, Jian-Xin Xu. An Iterative Learning Control Algorithm with Gain Adaptation for Stochastic Systems. IEEE Transactions on Automatic Control, vol. 65, no. 3, pp. 1280-1287, 2020. [WebLink] TOP
  62. Dong Shen, Xuefang Li. A Survey on Iterative Learning Control with Randomly Varying Trial Lengths: Model, Synthesis, and Convergence Analysis. Annual Reviews in Control, vol. 48, pp. 89-102, 2019. [WebLink] SURVEY
  63. Wei Wei, Xiaofang Wei, Pengfei Xia, Min Zuo, and Dong Shen. Seizure Control by A Learning Type Active Disturbance Rejection Approach. IEEE Access, vol. 7, pp. 164792-164802, 2019. [WebLink]
  64. Xuefang Li, Dong Shen, Jian-Xin Xu. Adaptive Iterative Learning Control for MIMO Nonlinear Systems Performing Iteration-varying Tasks. Journal of the Franklin Institute, vol. 356, no. 16, pp. 9206-9231, 2019. [WebLink] TOP
  65. 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. [WebLink] TOP
  66. 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. [WebLink]
  67. Tianbo Zhang, Dong Shen, Chen Liu, Hongze Xu. A Novel Iterative Learning Control Approach Based on Steady-state Kalman Filtering. IEEE Access, vol. 7, pp. 99371-99380, 2019. [WebLink]
  68. Dong Shen, Chao Zhang, Jian-Xin Xu. Distributed Learning Consensus Control Based on Neural Networks for Heterogeneous Nonlinear Multiagent Systems. International Journal of Robust and Nonlinear Control, vol. 29, no. 13, pp. 4328-4347, 2019. [WebLink] TOP
  69. Dahui Luo, JinRong Wang, Dong Shen, Michal Feckan. Iterative Learning Control for  Fractional-order Multi-agent Systems. Journal of the Franklin Institute, vol. 356, no. 12, pp. 6328-6351, 2019. [WebLink] TOP
  70. 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. [WebLink] TOP
  71. Jing Wang, Chenchen Yu, Dong Shen, Yangquan Chen. Variable Gain Feedback PDα-type Iterative Learning Control for Fractional Nonlinear Systems with Time-delay. IEEE Access, vol. 7, no. 1, pp. 90106-90114, 2019. [WebLink]
  72. Dahui Luo, JinRong Wang, Dong Shen. PD^\alpha-type Distributed Learning Control for Nonlinear Fractional-Order Multiagent Systems. Mathematical Methods in the Applied Sciences, vol. 42, no. 13, pp. 4543-4553, 2019.  [WebLink]
  73. 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. [WebLink]
  74. Chen Liu, Dong Shen, JinRong Wang. Iterative Learning Control of Multi-Agent Systems with Random Noises and Measurement Range Limitations. International Journal of Systems Science, vol. 50, no. 7, pp. 1465-1482, 2019. [WebLink]
  75. Shengda Liu, JinRong Wang, Dong Shen, D. O'Regan. Iterative Learning Control for Differential Inclusions of Parabolic Type with Noninstantaneous Impulses. Applied Mathematics and Computation, vol. 350, pp. 48-59, 2019. [WebLink] TOP
  76. 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. [WebLink] TOP, REGULAR PAPER, ESI HIGH CITATION
  77. Dong Shen, Jian-Xin Xu. Robust Learning Control for Nonlinear Systems with Nonparametric Uncertainties and Nonuniform Trial Lengths. International Journal of Robust and Nonlinear Control, vol. 29, no. 5, pp. 1302-1324, 2019. [WebLink] TOP
  78. Chengbin Liang, JinRong Wang, Dong Shen. Iterative Learning Control for Linear Discrete Delay Systems via Discrete Matrix Delayed Exponential Function Approach. Journal of Difference Equation and Applications, vol. 24, no. 11, pp. 1756-1776, 2018. [WebLink]
  79. Xiaowen Wang, JinRong Wang, Dong Shen, Yong Zhou. Convergence Analysis for Iterative Learning Control of Conformable Fractional Differential Equations. Mathematical Methods in the Applied Sciences, vol. 41, no. 17, pp. 8315-8328, 2018. [WebLink]
  80. Shengda Liu, JinRong Wang, Dong Shen, Donal O'Regan. Iterative Learning Control for Noninstantaneous Impulsive Fractional-order Systems with Randomly Varying Trial Lengths. International Journal of Robust and Nonlinear Control, vol. 28, no. 18, pp. 6202-6238, 2018. [WebLink] TOP
  81. 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. [WebLink]
  82. Chao Zhang, Dong Shen. Zero-Error Convergence of Iterative Learning Control Based on Uniform Quantisation with Encoding and Decoding Mechanism. IET Control Theory & Applications, vol. 12, no. 14, pp. 1907-1915, 2018. [PDF][WebLink]
  83. Dong Shen. A Technical Overview of Recent Progresses on Stochastic Iterative Learning Control. Unmanned Systems, vol. 6, no. 3, pp. 147-164, 2018. [WebLink] SURVEY
  84. Dong Shen, Jian-Xin Xu. Distributed Learning Consensus for Heterogenous High-Order Nonlinear Multi-Agent Systems with Output Constraints. Automatica, vol. 97, pp. 64-72, 2018. [WebLink] TOP
  85. 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.
  86. Dahui Luo, Jinrong Wang, Dong Shen. Learning Formation Control for Fractional-Order Multiagent Systems. Mathematical Methods in the Applied Sciences, vol. 41, no. 13, pp. 5003-5014, 2018.
  87. Dong Shen. Iterative Learning Control with Incomplete Information: A Survey. IEEE/CAA Journal of Automatica Sinica, vol. 5, no. 5, pp. 885-901, 2018. SURVEY
  88. 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. 
  89. 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. TOP, REGULAR PAPER
  90. Jian Han, Dong Shen, Chiang-Ju Chien. Terminal Iterative Learning Control for Discrete-Time Nonlinear Systems Based on Neural Networks. Journal of the Franklin Institute, vol. 355, no. 8, pp. 3641-3658, 2018.
  91. Saurab Verma, Dong Shen, Jian-Xin Xu. Motion Control of Robotic Fish under Dynamic Environmental Conditions using Adaptive Control Approach. IEEE Journal of Oceanic Engineering, vol. 43, no. 2, pp. 381-390, 2018.
  92. Lanjing Wang, Xuefang Li, Dong Shen. Sampled-data 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. TOP
  93. Jinrong Wang, Zijian Luo, Dong Shen. Iterative Learning Control for Linear Delay Systems with Deterministic and Random Impulses. Journal of the Franklin Institute, vol. 355, no. 5, pp. 2473-2497, 2018.
  94. Zhijiang Lou, Dong Shen, Youqing Wang. Two-Step Principal Component Analysis for Dynamic Processes Monitoring. The Canadian Journal of Chemical Engineering, vol. 96, no. 1, pp. 160-170, 2018. ESI HIGH CITATION
  95. Dong Shen, Jian-Xin Xu. A Framework of Iterative Learning Control under Random Data Dropouts: Mean Square and Almost Sure Convergence. International Journal of Adaptive Control and Signal Processing, vol. 31, no. 12, pp. 1825-1852, 2017. 
  96. Dong Shen, Jian-Xin Xu. Distributed Adaptive Iterative Learning Control for Nonlinear Multiagent Systems with State Constraints. International Journal of Adaptive Control and Signal Processing, vol. 31, no. 12, pp. 1779-1807, 2017. 
  97. 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. TOP
  98. Dong Zhao, Dong Shen, Youqing Wang. Fault Diagnosis and Compensation for Two-Dimensional Discrete Time Systems with Sensor Faults and Time-Varying Delays. International Journal of Robust and Nonlinear Control, vol. 27, no. 16, pp. 3296-3320, 2017. TOP, ESI HIGH CITATION
  99. 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.
  100. 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.
  101. Dong Shen, Chao Zhang. Learning Control for Discrete-Time Nonlinear Systems With Sensor Saturation and Measurement Noises. International Journal of Systems Sciences, vol. 48, no. 13, pp. 2764-2778, 2017.
  102. Xuefang Li, Dong Shen. Two Novel Iterative Learning Control Schemes for Systems with Randomly Varying Trial Lengths. Systems & Control Letters, vol. 107, pp. 9-16, 2017.
  103. 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.
  104. Dong Shen. Almost Sure Convergence of ILC for Networked Linear Systems with Random Link Failures. International Journal of Control, Automation, and Systems, vol. 15, no. 2, pp. 647-655, 2017.
  105. Dong Shen, Jian Han, Youqing Wang. Stochastic Point-to-Point Iterative Learning Tracking Without Prior Information on System Matrices. IEEE Transactions on Automation Science and Engineering, vol. 14, no. 1, pp. 376-382, 2017.
  106. 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.
  107. 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. 
  108. Dong Shen, Chao Zhang, Yun Xu. Two Updating Schemes of Iterative Learning Control for Networked Control Systems with Random Data Dropouts. Information Sciences, vol. 381, pp. 352-370, 2017. 
  109. 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. 
  110. 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. 
  111. Yuan Tao, Dong Shen, Mengqi Fang, Youqing Wang. Reliable H-\infty Control of Discrete Time Systems Against Intermittent Faults. International Journal of System Sciences, vol. 47, no. 10, pp. 2290-2301, 2016. 
  112. 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. TOP
  113. Jianyong Tuo, Huiling Sun, Dong Shen, Hui Wang, Youqing Wang. Optimization of Insulin Pump Therapy Based on High Order Run-to-Run Control Scheme. Computer Methods and Programs in Biomedicine, vol. 120, no. 3, pp. 123-134, 2015.
  114. Yuan Tao, Dong Shen, Youqing Wang, Yinzhong Ye. Reliable H-\infty Control for Uncertain Nonlinear Discrete-Time Systems Subject to Multiple Intermittent Faults in Sensors and/or Actuators. Journal of the Franklin Institute, vol. 352, pp. 4721-4740, 2015.
  115. Zhijiang Lou, Dong Shen, Youqing Wang. Preliminary-Summation-Based Principal Component Analysis for Non-Gaussian Processes. Chemometrics and Intelligent Laboratory Systems, vol. 146, pp. 270-289, 2015.
  116. Dong Shen, Youqing Wang. ILC for Networked Nonlinear Systems with Unknown Control Direction Through Random Lossy Channel. System & Control Letters, vol. 77, pp. 30-39, 2015.
  117. Dong Shen, Youqing Wang. Iterative Learning Control for Networked Stochastic Systems with Random Packet Losses. International Journal of Control, vol. 88, no. 5, pp. 959-968, 2015.
  118. Dong Shen, Youqing Wang. Survey on Stochastic Iterative Learning Control. Journal of Process Control, vol. 24, no. 12, pp. 64-77, 2014. SURVEY
  119. Dong Shen, Han-Fu Chen. A Kiefer-Wolfowitz Algorithm Based Iterative Learning Control for Hammerstein-Wiener Systems. Asian Journal of Control, vol. 14, no. 4, pp. 1070-1083, 2012.
  120. Xin Xu, Dong Shen, Yanqing Gao, Kai Wang. Learning Control of Dynamical Systems Based on Markov Decision Processes: Research Frontiers and Outlooks. Acta Automatica Sinica, vol. 38, no. 5, pp. 673-687, 2012. (In Chinese). SURVEY
  121. Dong Shen, Han-Fu Chen. Iterative learning control for Large Scale Nonlinear Systems with Observation Noise. Automatica, vol. 48, no. 3, pp. 577-582, 2012. TOP
  122. Dong Shen, Zhongsheng Hou. Iterative Learning Control with Unknown Control Direction: A Novel Approach. IEEE Transactions on Neural Networks, Special Issue on Data-based Optimization, Control and Modeling, vol. 22, no. 12, pp. 2237-2249, 2011.  TOP, REGULAR PAPER
  123. Dong Shen, Yutao Mu, Gang Xiong. Iterative Learning Control for Nonlinear Systems with Dead-zone Input and Time-delay in Presence of Measurement Noise. IET Control Theory and Applications, vol. 5, no. 12, pp. 1418-1425, 2011.
  124. Dong Shen, Han-Fu Chen. Iterative Learning Control for a Class of Nonlinear Systems. Journal of System Science & Mathematics Sciences, vol. 28, no. 9, pp. 1053-1064, 2008 (In Chinese).
▶ Conference Papers
  1. Zihan Li, Dong Shen. A Practical Excitation Condition of Simultaneous Parameter Estimation and Adaptive Tracking. The 42th Chinese Control Conference, Tianjin, China, 24-26 July, 2023.
  2. Kun Zeng, Zeyi Zhang, Dong Shen. Iterative Learning Containment Control under Fading Communication. The 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS'23), Xiangtan, China, 12-14 May, 2023, pp. 2008-2013.
  3. Xun He, Hao Jiang, Dong Shen. Iterative Learning Control for Linear Systems With Random Actuator Faults. The 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS'23), Xiangtan, China, 12-14 May, 2023, pp. 1556-1561.
  4. Jiaxi Qiang, Hao Jiang, Dong Shen. Iterative Learning Control Based on First-order Accelerated Gradient Method. The 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS'23), Xiangtan, China, 12-14 May, 2023, pp. 1544-1549.
  5. Taojun Liu, Dong Shen. Dual Quantized Iterative Learning Control Over Random Fading Channel. The 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS'23), Xiangtan, China, 12-14 May, 2023, pp. 1404-1409.
  6. Zeyi Zhang, Hao Jiang, Kun Zeng, Dong Shen. Collaborative Learning Tracking for Networked Systems With Fading Communication. The 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS'23), Xiangtan, China, 12-14 May, 2023, pp. 728-732.
  7. Xingying Zhao, Hao Jiang, Dong Shen. EOGFACE: Deep Face Recognition Via Extensional Logits. 2022 IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 16-19 October, 2022, pp. 311-315.
  8. Tianbo Zhang, Shihui Jiang, Tiyao Zhang, Dong Shen, Hongze Xu. A Kiefer-Wolfowitz Algorithm Based Adaptive PID for Magnetic Levitation Ball System With Experimental Verification. The 41st Chinese Control Conference (CCC2022), Hefei, China, July 25-27, 2022, pp. 5544-5548.
  9. Xun He, Hao Jiang, Dong Shen. Iterative Learning Control for Multi-Agent Systems Over Unknown Fading Networks. The IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS'22), Emeishan, China, 13-15 May, 2022, pp. 976-981.
  10. Zeyi Zhang, Hao Jiang, Dong Shen. Extended Iterative Learning Control for Inconsistent Tracking Problems with Random Dropouts. The IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS'22), Emeishan, China, 13-15 May, 2022, pp. 935-940. (This paper won IEEE 11th DDCLS Best Paper Award Finalist)
  11. Shuai Gao, Dong Shen. Iterative Learning Control for High-Speed Trains with Nonuniform Operation Lengths. The 13th Asian Control Conference, Jeju, Korea, 3-7 May, 2022, pp. 137-142.
  12. Dong Shen, Jiaxi Qian. Recent Advances in Iterative Learning Control with Fading Channel. The IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS'21), Suzhou, China, 14-16 May, 2021, pp. 1095-1100.
  13. Xuefang Li, Dong Shen. Iterative Learning Control for Output Tracking of Systems with Unmeasurable States. The 21st IFAC World Congress, Berlin, Germany, 12-17 July, 2020.
  14. Ganggui Qu, Dong Shen. Iterative Learning Control for Networked Nonlinear Systems With Fading Communication. IEEE 9th Data Driven Control and Learning Systems Conference, Liuzhou, China, 20-22 November, 2020, pp. 93-98.
  15. Dong Shen, Yanze Liu, Qijiang Song. Collaborative Tracking Systems Using Decentralized Iterative Learning Control. The 39th Chinese Control Conference, Shenyang, China, 27-29 July, 2020, pp. 1957-1962.
  16. Chen Liu, Dong Shen, Xuhui Bu. Adaptive Learning Control for Second-Order Nonlinear Multi-Agent Systems with Iteration-Switching Topologies. The 5th IFAC Symposium on Telematics Applications (TA2019), Chengdu, China, September 25-27, 2019, pp. 129-134 (IFAC PapersOnLine, vol. 52).
  17. Ganggui Qu, Dong Shen. Iterative Learning Control for Discrete-time Linear Systems Through Fading Channels. The 5th IFAC Symposium on Telematics Applications (TA2019), Chengdu, China, September 25-27, 2019, pp. 123-128 (IFAC PapersOnLine, vol. 52).
  18. Panpan Zhu, Xuhui Bu, Jiaqi Liang, Dong Shen. Data Driven Control for a Class of Nonlinear SISO Systems with Uniform Quantizer using Encoding and Decoding Mechanism. The IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS'19), Dali, China, May 24-27, 2019, pp. 7-12.
  19. Ganggui Qu, Dong Shen. A Learning Control Algorithm for Networked Stochastic Systems under Fading Channels. The 31st Chinese Control and Decision Conference, Nanchang, China, June 3-5, 2019, pp. 2839-2844.
  20. Chen Liu, Dong Shen. Learning Consensus for Nonlinear Multi-Agent Systems with Iteration-Switching Topologies. The 31st Chinese Control and Decision Conference, Nanchang, China, June 3-5, 2019, pp. 3453-3458.
  21. Niu Huo, Chao Zhang, Dong Shen. Uniformly Quantized ILC with Encoding and Decoding Mechanism under Random Data Dropouts. The 31st Chinese Control and Decision Conference, Nanchang, China, June 3-5, 2019, pp.3459-3464.
  22. Dong Shen, Ganggui Qu, Chen Liu. Iterative Learning Control for Linear Systems with Fading Channels. The 31st Chinese Control and Decision Conference, Nanchang, China, June 3-5, 2019, pp. 1545-1550.
  23. Chao Zhang, Dong Shen. Finite-Level Quantized Iterative Learning Control by Encoding-Decoding Mechanisms. The 2018 IEEE 7th Data Driven Control and Learning Systems Conference, Enshi, China, May 25-27, 2018, pp. 289-294. (This paper won IEEE 7th DDCLS Best Paper Award Finalist)
  24. Chen Liu, Dong Shen. Iterative Learning Consensus for Discrete-time Multi-Agent Systems with Measurement Saturation and Random Noises. The 2018 IEEE 7th Data Driven Control and Learning Systems Conference, Enshi, China, May 25-27, 2018, pp. 50-55.
  25. Dong Shen, Jian-Xin Xu. Zero-Error Tracking of Iterative Learning Control using Probabilistically Quantized Measurements. The 2017 Asian Control Conference (ASCC2017), Gold Coast, Australia,  December 17-20, 2017, pp. 1029-1034.
  26. Dong Shen, Lanjing Wang. On Iterative Learning Tracking Problem for Multi-Sensor Systems. The 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29-November 1, 2017, pp. 5918-5923.
  27. Dong Shen, Jian-Xin Xu. Iterative Learning Control for Linear Systems with Markov Data Dropouts: Noise-free Case. The 36th Chinese Control Conference (CCC2017), Dalian, China, July 26-28, 2017, pp. 3304-3309.
  28. Chao Zhang, Dong Shen. Zero-Error Convergence of Iterative Learning Control Using Uniform Quantizer with Encoding and Decoding Method. The 36th Chinese Control Conference (CCC2017), Dalian, China, July 26-28, 2017, pp. 3473-3478.
  29. Chiang-Ju Chien, Ying-Chung Wang, Meng-Joo Er, Ronghu Chi, Dong Shen. An Adaptive Iterative Learning Control for Discrete-Time Nonlinear Systems with Iteration-Varying Uncertainties. IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS17), Chongqing, China, May 26-27, 2017, pp. 390-395.
  30. Xuefang Li, Deqing Huang, Dong Shen, Jian-Xin Xu. Boundary Tracking Control for MIMO PDE-ODE Cascade Systems via Learning Control Approach. IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS17), Chongqing, China, May 26-27, 2017, pp. 78-83.
  31. Lanjing Wang, Dong Shen, Xuefang Li, Chiang-Ju Chien, Ying-Chung Wang. Sampled-data Iterative Learning Control for Nonlinear Systems with Iteration Varying Lengths. IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS17), Chongqing, China, May 26-27, 2017, pp. 36-41.
  32. Ying-Chung Wang, Chiang-Ju Chien, Ronghu Chi, Dong Shen. A Direct Adaptive Iterative Learning Control for Nonaffine Nonlinear Discrete-Time Systems with Unknown Control Directions. 2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy 2016), Taichung, Taiwan, November 9-11, 2016.
  33. Chiang-Ju Chien, Ying-Chung Wang, Meng-Joo Er, Dong Shen, Ronghu Chi. A New Design of Adaptive Terminal Iterative Learning Control for Nonlinear Systems. 2016 International Automatic Control Conference (CACS 2016), Taichung, Taiwan, November 9-11, 2016, pp.1090-1094.
  34. Fanshou Zhang, Shuming Tang, Dong Shen. A Framework for Cars to Join or Leave a Car Formation. 2016 IEEE 19th International Conference on Intelligent Transportation Systems, Rio de Janeiro, Brazil, November 1-4, 2016, pp. 72-76.
  35. Yun Xu, Dong Shen. Practical Sampled-Data Iterative Learning Control with Varying Sampling Rates. The 35th Chinese Control Conference (CCC2016), Chengdu, China, July 27-29, 2016, pp. 3235-3240.
  36. Lin Cao, Bin Hu, Xisong Dong, Gang Xiong, Fenghua Zhu, Zhen Shen, Dong Shen, Yuliang Liu. Two Intersections Traffic Signal Control Method Based on ADHDP. 2016 IEEE International Conference on Vehicular Electronics and Safety, Beijing, China, July 10-12, 2016, pp. 31-35.
  37. Dong Shen, Yun Xu. Brief Review on Sampled-Data Iterative Learning Control. The 28th Chinese Control and Decision Conference, Yinchuan, China, May 28-30, 2016, pp. 6830-6835.
  38. Wei Zhang, Lanjing Wang, Dong Shen. Iterative Learning Control for Biped Walking Robot with Varying Iteration Lengths. The 28th Chinese Control and Decision Conference, Yinchuan, China, May 28-30, 2016, pp. 4293-4298.
  39. Dazi Li, Lang Liu, Tianheng Song, Dong Shen. On Arbitrary Fractional System Identification in Frequency Domain. The 17th IFAC Symposium on System Identification (SYSID2015), Beijing, China, October 19-21, 2015, pp. 1421-1426.
  40. Chiang-Ju Chien, Ying-Chung Wang, Dong Shen, Ronghu Chi. Design of Fuzzy Adaptive Iterative Learning Control for Nonaffine Nonlinear Discrete-Time Systems. The 34th Chinese Control Conference (CCC2015), Hangzhou, China, July 28-30, 2015, pp. 3218-3223.
  41. Jian Han, Dong Shen, Chiang-Ju Chien. Terminal Iterative Learning Control for Discrete-Time Nonlinear System Based on Neural Networks. The 34th Chinese Control Conference (CCC2015), Hangzhou, China, July 28-30, 2015, pp. 3190-3195.
  42. Dong Shen, Yun Xu. Iterative Learning Control for Networked Nonlinear Systems Using Latest Information. The 34th Chinese Control Conference (CCC2015), Hangzhou, China, July 28-30, 2015, pp. 3079-3084.
  43. Wei Zhang, Dong Shen. Iterative Learning Control for Discrete-Time Affine Nonlinear System with Iteration Varying Lengths. The 34th Chinese Control Conference (CCC2015), Hangzhou, China, July 28-30, 2015, pp. 3062-3067.
  44. Chiang-Ju Chien, Ying-Chung Wang, Ronghu Chi, Dong Shen. An Adaptive Terminal Iterative Learning Control for Nonaffine Nonlinear Discrete-Time Systems. The 27th Chinese Control and Decision Conference (CCDC2015), Qingdao, China, May 23-25, 2015, pp. 1096-1100.
  45. Dong Shen, Wei Zhang, Youqing Wang, Chiang-Ju Chien. Almost Sure and Mean Square Convergence of ILC for Linear Systems with Randomly Varying Iteration Lengths. The 27th Chinese Control and Decision Conference (CCDC2015), Qingdao, China, May 23-25, 2015, pp. 4566-4571.
  46. Dong Shen, YouqingWang. ILC for Networked Discrete Systems with Random Data Dropouts: A Switched System Approach. The 33rd Chinese Control Conference (CCC2014), Nanjing, China, July 28-30, 2014, pp. 8670-8677. (This paper won IEEE CSS Beijing Chapter Young Author Prize).
  47. Dong Shen, YouqingWang. ILC for Networked Control Systems with Asynchronous Multiple Data Dropouts. The 11th World Congress on Intelligent Control and Automation (WCICA 2014), Shenyang, China, June 29 - July 4, 2014, pp. 822-827.
  48. Dong Shen, Yu Zhang, Youqing Wang. ILC for Networked Nonlinear Systems with Random Measurement Losses and Unknown Control Direction. The 11th IEEE International Conference on Control & Automation (IEEE ICCA 2014), Taichung, Taiwan, June 18-20, 2014, pp. 1438-1443.
  49. Dong Shen, Youqing Wang. Iterative Learning Control for Networked Stochastic Systems with Random Measurement Losses. The 26th Chinese Control and Decision Conference (2014CCDC), Changsha, China, May 31-June 2, 2014, pp. 4981-4986.
  50. Dong Shen, Youqing Wang. Iterative Learning Control for Stochastic Point-to-Point Tracking System. The 12th International Conference on Control, Automation, Robotics and Vision (ICARCV 2012), Guangzhou, China, Dec. 5-7, 2012, pp. 480-485.
  51. Dong Shen, Gang Xiong. Discrete-time Stochastic Iterative Learning Control: A Brief Survey. The 10th World Congress on Intelligent Control and Automation (WCICA2012), Beijing, China, July 6-8, 2012, pp. 2624-2629.
  52. Dong Shen, Shuming Tang. On Data-based Parallel Control. The 3rd Chinese Conference on Parallel Control, Zhangjiajie, China, Nov. 5-6, 2011 (In Chinese).
  53. Dong Shen, Han-Fu Chen. Iterative learning control for Hammerstein-Wiener systems. The 29th Chinese Control Conference (CCC2010), Beijing, China, July 29-31, 2010, pp. 2201-2206 (In Chinese).
  54. Dong Shen, Han-Fu Chen. Iterative Learning Control for a Class of Nonlinear Systems. The 27th Chinese Control Conference (CCC2008), Kunming, China, July 16-18, 2008, pp. 60-64 (In Chinese).
▶ Book Chapters
  1. Yihua Gao, Dong Shen, Jiaxi Qian. Iterative Learning Control Based on Random Variance Reduction Gradient Method. Chapter X of Proceedings of the 2nd International Academic Forum on Financial Mathematics and Fintech, pp. xx-xx, Springer, 2022.
  2. Dong Shen, Songhang Chen. Urban Transportation Management System based on Ontology and Multi-agent System Technology. Chapter 17 of Service Science, Management and Engineering, pp. 345-372, Academic Press & Zhejiang University Press, 2012.
  3. Zhen Shen, Dong Shen, Gang Xiong, Fei-Yue Wang. On Service Science, Management and Engineering. Chapter 1 of Service Science, Management and Engineering, pp. 1-9, Academic Press & Zhejiang University Press, 2012.
▶ Theses
  1. Dong Shen. On Some Problems of Stochastic Iterative Learning Control, Institute of Automation, Chinese Academy of Sciences, 2012 (Postdoctor Report).
  2. Dong Shen. Iterative Learning Control for Nonlinear Stochastic Systems, Institute of System Sciences, Chinese Academy of Sciences, China, 2010 (Doctor Thesis).
▶ Education Papers
  1. Dazi Li, Dong Shen, Hongguang Li. Problem Driven Professional Postgraduate CO-OP Practice of University and Enterprise. Journal of National Academy of Education Administration, no. 2, pp. 43-47, 2018 (in Chinese). [PDF]
  2. Dong Shen, Dazi Li. On Cultivation of Mathematics Ability for Graduate Students in Automation Major. Higher Education in Chemical Engineering, no. 5, pp. 75-79, 2017 (in Chinese). [PDF]
▶ Miscellaneous
  1. Gang Xiong, Zhong Liu, Xiwei Liu, Fenghua Zhu, Dong Shen. Preface of Service Science, Management and Engineering: Theory and Applications.
  2. Dong Shen. Translation of “How Google Finds Your Needle in the Web’s Haystack” by David Austin. Mathematical Culture, vol. 3, no. 4, pp. 67-72, 2012. English version: http://www.ams.org/samplings/feature-column/fcarc-pagerank; Chinese version: PDF.
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