Dong Shen
Orcid: 0000-0003-1063-1351Affiliations:
- Renmin University of China, Beijing, China
According to our database1,
Dong Shen
authored at least 80 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Finite-Iteration Learning Control for Nonlinear Systems With Parameter Uncertainties.
IEEE Trans. Syst. Man Cybern. Syst., September, 2025
Fractional-Proportional-Type Iterative Learning Control With a Novel Gain Selection Rule.
IEEE Trans. Cybern., September, 2025
Noisy Error-Adaptive Weighting Strategy for Accelerating ILC in Discrete-Time Systems.
IEEE Trans. Cybern., August, 2025
Distributed Closed-Loop Reference Adaptive Learning Control for Parallel Mutual Inductance Circuits.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2025
Accelerating Iterative Learning Control Using Fractional-Proportional-Type Update Rule.
IEEE Trans. Autom. Control., April, 2025
Iterative Learning Control for Pareto Optimal Tracking in Incompatible Multisensor Systems.
IEEE Trans. Cybern., March, 2025
IEEE Trans. Cybern., March, 2025
Encoding-Decoding-Based Quantized Learning Control Using Spherical Polar Coordinates.
IEEE Trans. Cybern., February, 2025
IEEE Trans. Syst. Man Cybern. Syst., January, 2025
IEEE Trans Autom. Sci. Eng., 2025
Pattern Recognit., 2025
Consensus control for multi-agent systems with unknown faded neighborhood information via iterative learning scheme.
Inf. Sci., 2025
scRECL: representative ensembles with contrastive learning for scRNA-seq data clustering analysis.
Briefings Bioinform., 2025
2024
IEEE Trans. Intell. Transp. Syst., December, 2024
IEEE Trans. Cybern., December, 2024
IEEE Trans Autom. Sci. Eng., October, 2024
Data-Driven Distributed Learning Control for High-Speed Trains Considering Quantization Effects and Measurement Bias.
IEEE Trans. Veh. Technol., July, 2024
A Novel Accelerated Multistage Learning Control Mechanism via Virtual Performance Reduction.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Point-to-Point Learning Tracking Control via Fading Communication Using Reference Update Strategy.
IEEE Trans. Cybern., April, 2024
Distributed Learning Control for High-Speed Trains Subject to Operation Safety Constraints.
IEEE Trans. Cybern., March, 2024
IEEE Trans. Neural Networks Learn. Syst., January, 2024
IEEE CAA J. Autom. Sinica, January, 2024
IEEE Intell. Transp. Syst. Mag., 2024
Observer-based sampled-data event-triggered tracking for nonlinear multi-agent systems with semi-Markovian switching topologies.
Inf. Sci., 2024
2023
Knowl. Based Syst., October, 2023
Point-to-Point Learning and Tracking for Networked Stochastic Systems With Fading Communications.
IEEE Trans. Syst. Man Cybern. Syst., June, 2023
Batch-Based Learning Consensus of Multiagent Systems With Faded Neighborhood Information.
IEEE Trans. Neural Networks Learn. Syst., June, 2023
IEEE Trans. Cybern., June, 2023
Practical Learning-Tracking Framework Under Unknown Nonrepetitive Channel Randomness.
IEEE Trans. Autom. Control., June, 2023
Adaptive Fixed-Time Antilock Control of Levitation System of High-Speed Maglev Train.
IEEE Trans. Intell. Veh., May, 2023
IEEE CAA J. Autom. Sinica, May, 2023
Decentralized learning control for large-scale systems with gain-adaptation mechanisms.
Inf. Sci., April, 2023
IEEE Trans. Autom. Control., March, 2023
Adaptive finite-time fuzzy control for hybrid levitation system of maglev trains with active anti-lock constraints.
J. Frankl. Inst., March, 2023
IEEE Trans. Cybern., 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
A Probabilistically Quantized Learning Control Framework for Networked Linear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2022
Iterative Learning Control for Output Tracking of Nonlinear Systems With Unavailable State Information.
IEEE Trans. Neural Networks Learn. Syst., 2022
Nonlinear Robust Composite Levitation Control for High-Speed EMS Trains With Input Saturation and Track Irregularities.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Ind. Electron., 2022
IEEE Trans. Ind. Electron., 2022
Zero-Error Tracking Control Under Unified Quantized Iterative Learning Framework via Encoding-Decoding Method.
IEEE Trans. Cybern., 2022
Noisy-Output-Based Direct Learning Tracking Control With Markov Nonuniform Trial Lengths Using Adaptive Gains.
IEEE Trans. Autom. Control., 2022
A high-order norm-product regularized multiple kernel learning framework for kernel optimization.
Inf. Sci., 2022
Iterative learning based consensus control for distributed parameter type multi-agent differential inclusion systems with time-delay.
Comput. Math. Appl., 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Iterative Learning Tracking for Multisensor Systems: A Weighted Optimization Approach.
IEEE Trans. Cybern., 2021
Averaging Techniques for Balancing Learning and Tracking Abilities Over Fading Channels.
IEEE Trans. Autom. Control., 2021
2020
Performance Enhancement of Learning Tracking Systems Over Fading Channels With Multiplicative and Additive Randomness.
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Encoding-Decoding Mechanism-Based Finite-Level Quantized Iterative Learning Control With Random Data Dropouts.
IEEE Trans Autom. Sci. Eng., 2020
IEEE Trans. Autom. Control., 2020
A Two-Dimensional Approach to Iterative Learning Control with Randomly Varying Trial Lengths.
J. Syst. Sci. Complex., 2020
Iterative Learning Control for Locally Lipschitz Nonlinear Fractional-order Multi-agent Systems.
J. Frankl. Inst., 2020
2019
Adaptive Learning Control for Nonlinear Systems With Randomly Varying Iteration Lengths.
IEEE Trans. Neural Networks Learn. Syst., 2019
J. Frankl. Inst., 2019
J. Frankl. Inst., 2019
Iterative learning control of multi-agent systems with random noises and measurement range limitations.
Int. J. Syst. Sci., 2019
A survey on iterative learning control with randomly varying trial lengths: Model, synthesis, and convergence analysis.
Annu. Rev. Control., 2019
Iterative learning control for differential inclusions of parabolic type with noninstantaneous impulses.
Appl. Math. Comput., 2019
IEEE Access, 2019
IEEE Access, 2019
Variable Gain Feedback PD<sup>α</sup>-Type Iterative Learning Control for Fractional Nonlinear Systems With Time-Delay.
IEEE Access, 2019
Improving Boundary Level Calculation in Quantized Iterative Learning Control With Encoding and Decoding Mechanism.
IEEE Access, 2019
2018
Unmanned Syst., 2018
Data-Driven Learning Control for Stochastic Nonlinear Systems: Multiple Communication Constraints and Limited Storage.
IEEE Trans. Neural Networks Learn. Syst., 2018
Adaptive learning tracking for uncertain systems with partial structure information and varying trial lengths.
J. Frankl. Inst., 2018
Iterative learning control for linear delay systems with deterministic and random impulses.
J. Frankl. Inst., 2018
Terminal iterative learning control for discrete-time nonlinear systems based on neural networks.
J. Frankl. Inst., 2018
Distributed learning consensus for heterogenous high-order nonlinear multi-agent systems with output constraints.
Autom., 2018
2017
Stochastic Point-to-Point Iterative Learning Tracking Without Prior Information on System Matrices.
IEEE Trans Autom. Sci. Eng., 2017
A Novel Markov Chain Based ILC Analysis for Linear Stochastic Systems Under General Data Dropouts Environments.
IEEE Trans. Autom. Control., 2017
Two novel iterative learning control schemes for systems with randomly varying trial lengths.
Syst. Control. Lett., 2017
Learning control for linear systems under general data dropouts at both measurement and actuator sides: A Markov chain approach.
J. Frankl. Inst., 2017
Two updating schemes of iterative learning control for networked control systems with random data dropouts.
Inf. Sci., 2017
Zero-error tracking of iterative learning control using probabilistically quantized measurements.
Proceedings of the 11th Asian Control Conference, 2017
2016
Iterative Learning Control for discrete nonlinear systems with randomly iteration varying lengths.
Syst. Control. Lett., 2016