Iterative Learning Control for discrete nonlinear systems with randomly iteration varying lengths. - Dong Shen 002; Wei Zhang; Jian-Xin Xu 001 (Syst. Control. Lett., 2016)

Zero-error tracking of iterative learning control using probabilistically quantized measurements. - Dong Shen 002; Jian-Xin Xu 001 (ASCC, 2017)

Two updating schemes of iterative learning control for networked control systems with random data dropouts. - Dong Shen 002; Chao Zhang; Yun Xu (Inf. Sci., 2017)

Learning control for linear systems under general data dropouts at both measurement and actuator sides: A Markov chain approach. - Dong Shen 002; Yanqiong Jin; Yun Xu (J. Frankl. Inst., 2017)

Two novel iterative learning control schemes for systems with randomly varying trial lengths. - Xuefang Li; Dong Shen 002 (Syst. Control. Lett., 2017)

A Novel Markov Chain Based ILC Analysis for Linear Stochastic Systems Under General Data Dropouts Environments. - Dong Shen 002; Jian-Xin Xu 001 (IEEE Trans. Autom. Control., 2017)

Stochastic Point-to-Point Iterative Learning Tracking Without Prior Information on System Matrices. - Dong Shen 002; Jian Han; Youqing Wang (IEEE Trans Autom. Sci. Eng., 2017)

Distributed learning consensus for heterogenous high-order nonlinear multi-agent systems with output constraints. - Dong Shen 002; Jianxin Xu 001 (Autom., 2018)

Terminal iterative learning control for discrete-time nonlinear systems based on neural networks. - Jian Han; Dong Shen 002; Chiang-Ju Chien (J. Frankl. Inst., 2018)

Iterative learning control for linear delay systems with deterministic and random impulses. - JinRong Wang 001; Zijian Luo; Dong Shen 002 (J. Frankl. Inst., 2018)

Adaptive learning tracking for uncertain systems with partial structure information and varying trial lengths. - Chun Zeng; Dong Shen 002; JinRong Wang 001 (J. Frankl. Inst., 2018)

Data-Driven Learning Control for Stochastic Nonlinear Systems: Multiple Communication Constraints and Limited Storage. - Dong Shen 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Technical Overview of Recent Progresses on Stochastic Iterative Learning Control. - Dong Shen 002 (Unmanned Syst., 2018)

Improving Boundary Level Calculation in Quantized Iterative Learning Control With Encoding and Decoding Mechanism. - Niu Huo; Dong Shen 002 (IEEE Access, 2019)

Variable Gain Feedback PDα-Type Iterative Learning Control for Fractional Nonlinear Systems With Time-Delay. - Jing Wang 016; Chenchen Yu; Yi Liu; Dong Shen 002; YangQuan Chen (IEEE Access, 2019)

Seizure Control by a Learning Type Active Disturbance Rejection Approach. - Wei Wei 017; Xiaofang Wei; Pengfei Xia; Min Zuo; Dong Shen 002 (IEEE Access, 2019)

A Novel Iterative Learning Control Approach Based on Steady-State Kalman Filtering. - Tianbo Zhang; Dong Shen 002; Chen Liu 023; Hongze Xu (IEEE Access, 2019)

Iterative learning control for differential inclusions of parabolic type with noninstantaneous impulses. - Shengda Liu; JinRong Wang 001; Dong Shen 002; Donal O'Regan (Appl. Math. Comput., 2019)

A survey on iterative learning control with randomly varying trial lengths: Model, synthesis, and convergence analysis. - Dong Shen 002; Xuefang Li (Annu. Rev. Control., 2019)

Iterative learning control of multi-agent systems with random noises and measurement range limitations. - Chen Liu; Dong Shen 002; Jinrong Wang 001 (Int. J. Syst. Sci., 2019)

Iterative learning control for fractional-order multi-agent systems. - Dahui Luo; JinRong Wang 001; Dong Shen 002; Michal Feckan (J. Frankl. Inst., 2019)

Adaptive learning tracking for robot manipulators with varying trial lengths. - Chun Zeng; Dong Shen 002; JinRong Wang 001 (J. Frankl. Inst., 2019)

Adaptive Learning Control for Nonlinear Systems With Randomly Varying Iteration Lengths. - Dong Shen 002; Jianxin Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Iterative Learning Control for Locally Lipschitz Nonlinear Fractional-order Multi-agent Systems. - Dahui Luo; JinRong Wang 001; Dong Shen 002 (J. Frankl. Inst., 2020)

A Two-Dimensional Approach to Iterative Learning Control with Randomly Varying Trial Lengths. - Chen Liu; Dong Shen 002; Jinrong Wang 001 (J. Syst. Sci. Complex., 2020)

An Iterative Learning Control Algorithm With Gain Adaptation for Stochastic Systems. - Dong Shen 002; Jian-Xin Xu 001 (IEEE Trans. Autom. Control., 2020)

Encoding-Decoding Mechanism-Based Finite-Level Quantized Iterative Learning Control With Random Data Dropouts. - Niu Huo; Dong Shen 002 (IEEE Trans Autom. Sci. Eng., 2020)

Multidimensional Gains for Stochastic Approximation. - Samer S. Saab 001; Dong Shen 002 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Performance Enhancement of Learning Tracking Systems Over Fading Channels With Multiplicative and Additive Randomness. - Dong Shen 002; Ganggui Qu (IEEE Trans. Neural Networks Learn. Syst., 2020)

Averaging Techniques for Balancing Learning and Tracking Abilities Over Fading Channels. - Dong Shen 002; Ganggui Qu; Xinghuo Yu 001 (IEEE Trans. Autom. Control., 2021)

Iterative Learning Tracking for Multisensor Systems: A Weighted Optimization Approach. - Dong Shen 002; Chen Liu 023; Lanjing Wang; Xinghuo Yu 001 (IEEE Trans. Cybern., 2021)

Learning Tracking Control Over Unknown Fading Channels Without System Information. - Dong Shen 002; Xinghuo Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Eogface: Deep Face Recognition via Extensional Logits. - Xingying Zhao; Hao Jiang 009; Dong Shen 002 (ICIP, 2022)

Iterative learning based consensus control for distributed parameter type multi-agent differential inclusion systems with time-delay. - Min Zhou; JinRong Wang 001; Dong Shen 002 (Comput. Math. Appl., 2022)

A high-order norm-product regularized multiple kernel learning framework for kernel optimization. - Hao Jiang 009; Dong Shen 002; Wai-Ki Ching; Yushan Qiu (Inf. Sci., 2022)

Noisy-Output-Based Direct Learning Tracking Control With Markov Nonuniform Trial Lengths Using Adaptive Gains. - Dong Shen 002; Samer S. Saab 001 (IEEE Trans. Autom. Control., 2022)

Zero-Error Tracking Control Under Unified Quantized Iterative Learning Framework via Encoding-Decoding Method. - Dong Shen 002; Chao Zhang (IEEE Trans. Cybern., 2022)

Iterative Learning Control: Practical Implementation and Automation. - Samer Said Saab 001; Dong Shen 002; Mohamad Orabi; David Kors; Rayana H. Jaafar (IEEE Trans. Ind. Electron., 2022)

Learning Control for Motion Coordination in Wafer Scanners: Toward Gain Adaptation. - Fazhi Song; Yang Liu 075; Dong Shen 002; Li Li 068; Jiubin Tan (IEEE Trans. Ind. Electron., 2022)

Nonlinear Robust Composite Levitation Control for High-Speed EMS Trains With Input Saturation and Track Irregularities. - Shihui Jiang; Dong Shen 002; Tianbo Zhang; Hongze Xu (IEEE Trans. Intell. Transp. Syst., 2022)

Iterative Learning Control for Output Tracking of Nonlinear Systems With Unavailable State Information. - Xuefang Li; Dong Shen 002; Beichen Ding (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Probabilistically Quantized Learning Control Framework for Networked Linear Systems. - Dong Shen 002; Niu Huo; Samer S. Saab 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Learning Tracking Over Unknown Fading Channels Based on Iterative Estimation. - Dong Shen 002; Xinghuo Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Learning Control for Networked Stochastic Systems With Random Fading Communication. - Dong Shen 002; Ganggui Qu; Qijiang Song (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A Novel Adaptive Gain Strategy for Stochastic Learning Control. - Xiang Cheng; Hao Jiang 009; Dong Shen 002; Xinghuo Yu 001 (IEEE Trans. Cybern., 2023)

Adaptive finite-time fuzzy control for hybrid levitation system of maglev trains with active anti-lock constraints. - Tianbo Zhang; Shihui Jiang; Dong Shen 002; Hongze Xu (J. Frankl. Inst., 2023)

Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates. - Ronghu Chi; Huaying Li; Dong Shen 002; Zhongsheng Hou; Biao Huang 001 (IEEE Trans. Autom. Control., 2023)

Decentralized learning control for large-scale systems with gain-adaptation mechanisms. - Hao Jiang 009; Xun He; Qijiang Song; Dong Shen 002 (Inf. Sci., 2023)

Enhancing Iterative Learning Control With Fractional Power Update Law. - Zihan Li; Dong Shen 002; Xinghuo Yu 001 (IEEE CAA J. Autom. Sinica, 2023)

Adaptive Fixed-Time Antilock Control of Levitation System of High-Speed Maglev Train. - Tianbo Zhang; Dong Shen 002; Shihui Jiang; Hongze Xu (IEEE Trans. Intell. Veh., 2023)

Practical Learning-Tracking Framework Under Unknown Nonrepetitive Channel Randomness. - Dong Shen 002 (IEEE Trans. Autom. Control., 2023)

Optimal Learning Control Scheme for Discrete-Time Systems With Nonuniform Trials. - Chen Liu 023; Xiaoe Ruan; Dong Shen 002; Hao Jiang 009 (IEEE Trans. Cybern., 2023)

Batch-Based Learning Consensus of Multiagent Systems With Faded Neighborhood Information. - Ganggui Qu; Dong Shen 002; Xinghuo Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Point-to-Point Learning and Tracking for Networked Stochastic Systems With Fading Communications. - Ganggui Qu; Dong Shen 002; Qijiang Song; Xinghuo Yu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A unified model of data uncertainty and data relation uncertainty. - Mingxue Liao; Dong Shen 002; Pin Lv (Knowl. Based Syst., 2023)

Observer-based sampled-data event-triggered tracking for nonlinear multi-agent systems with semi-Markovian switching topologies. - Jian Yang; Jinrong Wang 001; Dong Shen 002 (Inf. Sci., 2024)

History Makes the Future: Iterative Learning Control for High-Speed Trains. - Shuai Gao; Qijiang Song; Hao Jiang 009; Dong Shen 002 (IEEE Intell. Transp. Syst. Mag., 2024)

Data-Driven Learning Control Algorithms for Unachievable Tracking Problems. - Zeyi Zhang; Hao Jiang 009; Dong Shen 002; Samer S. Saab 001 (IEEE CAA J. Autom. Sinica, 2024)

FedSW: Federated learning with adaptive sample weights. - Xingying Zhao; Dong Shen 002 (Inf. Sci., 2024)

Accelerated Learning Control for Point-to-Point Tracking Systems. - Hao Jiang 009; Dong Shen 002; Shunhao Huang; Xinghuo Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Distributed Learning Control for High-Speed Trains Subject to Operation Safety Constraints. - Shuai Gao; Qijiang Song; Dong Shen 002 (IEEE Trans. Cybern., 2024)

Point-to-Point Learning Tracking Control via Fading Communication Using Reference Update Strategy. - Shunhao Huang; Dong Shen 002; Jinrong Wang 001 (IEEE Trans. Cybern., 2024)

A Novel Accelerated Multistage Learning Control Mechanism via Virtual Performance Reduction. - Xiang Cheng; Hao Jiang 009; Dong Shen 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Data-Driven Distributed Learning Control for High-Speed Trains Considering Quantization Effects and Measurement Bias. - Deqing Huang; Wei Yu 022; Dong Shen 002; Xuefang Li (IEEE Trans. Veh. Technol., 2024)

Filter-Free Parameter Estimation Method for Continuous-Time Systems. - Zihan Li; Dong Shen 002 (IEEE Trans Autom. Sci. Eng., 2024)

An Accelerated Adaptive Gain Design in Stochastic Learning Control. - Xiang Cheng; Hao Jiang 009; Dong Shen 002; Xinghuo Yu 001 (IEEE Trans. Cybern., 2024)

Synthesis of Safety and Ride Comfort Control for Chassis of Maglev Trains. - Tianbo Zhang; Shihui Jiang; Xingchen Li; Dong Shen 002; Keyou You (IEEE Trans. Intell. Transp. Syst., 2024)

scRECL: representative ensembles with contrastive learning for scRNA-seq data clustering analysis. - Yixiang Huang; Hao Jiang 009; Wai-Ki Ching; Dong Shen 002 (Briefings Bioinform., 2025)

Consensus control for multi-agent systems with unknown faded neighborhood information via iterative learning scheme. - Wanzheng Qiu; Jinrong Wang; Dong Shen 002 (Inf. Sci., 2025)

Co-regularized optimal high-order graph embedding for multi-view clustering. - Senwen Zhan; Hao Jiang 009; Dong Shen 002 (Pattern Recognit., 2025)

A Multistage Update Rule Framework for Iterative Learning Control Systems. - Zihan Li; Dong Shen 002; Xinghuo Yu 001 (IEEE Trans Autom. Sci. Eng., 2025)

Finite- and Fixed-Time Learning Control for Continuous-Time Nonlinear Systems. - Zihan Li; Dong Shen 002; Daniel W. C. Ho (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Encoding-Decoding-Based Quantized Learning Control Using Spherical Polar Coordinates. - Niu Huo; Dong Shen 002; Daniel W. C. Ho (IEEE Trans. Cybern., 2025)

Adaptive Quantized Iterative Learning Control Using Encoding-Decoding Strategy. - Taojun Liu; Dong Shen 002; Jinrong Wang 001 (IEEE Trans. Cybern., 2025)

Iterative Learning Control for Pareto Optimal Tracking in Incompatible Multisensor Systems. - Zhenfa Zhang; Dong Shen 002; Xinghuo Yu 001 (IEEE Trans. Cybern., 2025)

Accelerating Iterative Learning Control Using Fractional-Proportional-Type Update Rule. - Zihan Li; Dong Shen 002; Xinghuo Yu 001 (IEEE Trans. Autom. Control., 2025)

Distributed Closed-Loop Reference Adaptive Learning Control for Parallel Mutual Inductance Circuits. - Tianbo Zhang; Keyou You; Dong Shen 002 (IEEE Trans. Circuits Syst. II Express Briefs, 2025)

Noisy Error-Adaptive Weighting Strategy for Accelerating ILC in Discrete-Time Systems. - Zeyi Zhang; Dong Shen 002; Hao Jiang 009; Samer Saab 001; Xinghuo Yu 001 (IEEE Trans. Cybern., 2025)

Fractional-Proportional-Type Iterative Learning Control With a Novel Gain Selection Rule. - Zihan Li; Dong Shen 002; Xinghuo Yu 001 (IEEE Trans. Cybern., 2025)

Finite-Iteration Learning Control for Nonlinear Systems With Parameter Uncertainties. - Zihan Li; Dong Shen 002 (IEEE Trans. Syst. Man Cybern. Syst., 2025)