D. Shen

发表

Two-Dimensional Techniques for Linear Discrete-Time Systems

D. Shen, Xuefang Li, 2019, Iterative Learning Control for Systems with Iteration-Varying Trial Lengths.

Zero-error convergence of iterative learning control using uniform quantizer with encoding and decoding method

Dong Shen, Chao Zhang, D. Shen, 2017, 2017 36th Chinese Control Conference (CCC).

ILC for networked discrete systems with random data dropouts: A switched system approach

Youqing Wang, D. Shen, 2014, Proceedings of the 33rd Chinese Control Conference.

Preliminary-summation-based principal component analysis for non-Gaussian processes

Dong Shen, Zhijiang Lou, Youqing Wang, 2015 .

A direct adaptive iterative learning control for nonaffine nonlinear discrete-time systems with unknown control directions

Chiang-Ju Chien, Ying-Chung Wang, R. Chi, 2016, 2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy).

Convergence analysis for iterative learning control of conformable fractional differential equations

Yong Zhou, D. Shen, Jinrong Wang, 2018, Mathematical Methods in the Applied Sciences.

Autonomous Reconfiguration Control Method for UAV's Formation Based on Nash Bargain: Autonomous Reconfiguration Control Method for UAV's Formation Based on Nash Bargain

Dong Shen, Lu Zhang, D. Shen, 2014 .

Iterative learning control for networked stochastic systems with random measurement losses

Dong Shen, Youqing Wang, Youqing Wang, 2014, The 26th Chinese Control and Decision Conference (2014 CCDC).

Averaging and Lifting Techniques for Linear Discrete-Time Systems

D. Shen, Xuefang Li, 2019, Iterative Learning Control for Systems with Iteration-Varying Trial Lengths.

PDα‐type distributed learning control for nonlinear fractional‐order multiagent systems

D. Shen, Jinrong Wang, D. Luo, 2019, Mathematical Methods in the Applied Sciences.

On Arbitrary Fractional System Identification in Frequency Domain

D. Shen, Dazi Li, Tianheng Song, 2015 .

Iterative learning control for conformable stochastic impulsive differential systems with randomly varying trial lengths

D. Shen, Jinrong Wang, Michal Feckan, 2022, International Journal of Nonlinear Sciences and Numerical Simulation.

Sampled-data iterative learning control for nonlinear systems with iteration varying lengths

Chiang-Ju Chien, Ying-Chung Wang, D. Shen, 2017, 2017 6th Data Driven Control and Learning Systems (DDCLS).

Observability for Markovian Jump Boolean Network with Random Delay Effect in States

D. Shen, Xudong Gui, Jinrong Wang, 2022, Qualitative Theory of Dynamical Systems.

Iterative learning control with incomplete information: a survey

Dong Shen, D. Shen, 2018, IEEE/CAA Journal of Automatica Sinica.

On interval tracking performance evaluation and practical varying sampling ILC

Youqing Wang, Yun Xu, Dong Shen, 2017, Int. J. Syst. Sci..

Practical sampled-data iterative learning control with varying sampling rates

Dong Shen, Yun Xu, D. Shen, 2016, 2016 35th Chinese Control Conference (CCC).

Brief review on sampled-data iterative learning control

Dong Shen, Yun Xu, D. Shen, 2016, 2016 Chinese Control and Decision Conference (CCDC).

Distributed learning consensus for heterogenous high-order nonlinear multi-agent systems with output constraints

Dong Shen, Jianxin Xu, D. Shen, 2018, Autom..

Adaptive iterative learning control for MIMO nonlinear systems performing iteration-varying tasks

Dong Shen, Jian-Xin Xu, Xuefang Li, 2019, J. Frankl. Inst..

Variable Gain Feedback $PD^{\alpha}$ -Type Iterative Learning Control for Fractional Nonlinear Systems With Time-Delay

Dong Shen, YangQuan Chen, Jing Wang, 2019, IEEE Access.

A Technical Overview of Recent Progresses on Stochastic Iterative Learning Control

Dong Shen, D. Shen, 2018, Unmanned Syst..

Iterative learning control for linear delay systems with deterministic and random impulses

Dong Shen, JinRong Wang, Zijian Luo, 2018, J. Frankl. Inst..

Stochastic Point‐to‐Point Iterative Learning Control Based on Stochastic Approximation

Dong Shen, Yun Xu, Xiao-Dong Zhang, 2017 .

Boundary tracking control for MIMO PDE-ODE cascade systems via learning control approach

Dong Shen, Jian-Xin Xu, Deqing Huang, 2017, 2017 6th Data Driven Control and Learning Systems (DDCLS).

Stochastic Point-to-Point Iterative Learning Tracking Without Prior Information on System Matrices

Dong Shen, Jian Han, Youqing Wang, 2017, IEEE Transactions on Automation Science and Engineering.

On almost sure and mean square convergence of P-type ILC under randomly varying iteration lengths

Wei Zhang, Dong Shen, Chiang-Ju Chien, 2016, Autom..

Terminal iterative learning control for discrete-time nonlinear system based on neural networks

Dong Shen, Jian Han, Chiang-Ju Chien, 2015, 2015 34th Chinese Control Conference (CCC).

Optimization of insulin pump therapy based on high order run-to-run control scheme

Dong Shen, Hui Wang, Youqing Wang, 2015, Comput. Methods Programs Biomed..

Almost sure and mean square convergence of ILC for linear systems with randomly varying iteration lengths

Wei Zhang, Dong Shen, Chiang-Ju Chien, 2015, The 27th Chinese Control and Decision Conference (2015 CCDC).

ILC for networked nonlinear systems with unknown control direction through random Lossy channel

Dong Shen, Youqing Wang, Youqing Wang, 2015, Syst. Control. Lett..

Iterative learning control for networked stochastic systems with random packet losses

Dong Shen, Youqing Wang, Youqing Wang, 2014, Int. J. Control.

Survey on stochastic iterative learning control

Dong Shen, Youqing Wang, Youqing Wang, 2014 .

ILC for networked nonlinear systems with random measurement losses and unknown control direction

Yu Zhang, Dong Shen, Youqing Wang, 2014, 11th IEEE International Conference on Control & Automation (ICCA).

ILC for networked control systems with asynchronous multiple data dropouts

Dong Shen, Youqing Wang, Youqing Wang, 2014, Proceeding of the 11th World Congress on Intelligent Control and Automation.

Learning Control of Dynamical Systems Based on Markov Decision Processes: Research Frontiers and Outlooks: Learning Control of Dynamical Systems Based on Markov Decision Processes: Research Frontiers and Outlooks

Xin Xu, Dong Shen, Kai Wang, 2012 .

Iterative learning control for stochastic point-to-point tracking system

Dong Shen, Youqing Wang, Youqing Wang, 2012, 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV).

A Kiefer‐Wolfowitz Algorithm Based Iterative Learning Control for Hammerstein‐Wiener Systems

Han-Fu Chen, D. Shen, 2012 .

Iterative learning control for non-linear systems with deadzone input and time delay in presence of measurement noise

D. Shen, Y. Mu, G. Xiong, 2011 .

Fault diagnosis and compensation for two‐dimensional discrete time systems with sensor faults and time‐varying delays

Dong Shen, Youqing Wang, Dong Zhao, 2017 .

A survey on iterative learning control with randomly varying trial lengths: Model, synthesis, and convergence analysis

Xuefang Li, Dong Shen, D. Shen, 2019, Annu. Rev. Control..

A Probabilistically Quantized Learning Control Framework for Networked Linear Systems

S. Saab, D. Shen, Niu Huo, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Iterative Learning Control for Locally Lipschitz Nonlinear Fractional-order Multi-agent Systems

Dahui Luo, JinRong Wang, Dong Shen, 2020, J. Frankl. Inst..

Iterative Learning Control for Discrete-time Linear Systems Through Fading Channels

Ganggui Qu, Dong Shen, D. Shen, 2019, IFAC-PapersOnLine.

Adaptive Finite-Time Fuzzy Control for Hybrid Levitation System of Maglev Trains With Active Anti-lock Constraints

D. Shen, Hongze Xu, S. Jiang, 2023, Journal of the Franklin Institute.

Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates

Z. Hou, R. Chi, D. Shen, 2023, IEEE Transactions on Automatic Control.

Motion Control of Robotic Fish Under Dynamic Environmental Conditions Using Adaptive Control Approach

Dong Shen, Jian-Xin Xu, Saurab Verma, 2018, IEEE Journal of Oceanic Engineering.

Multidimensional Gains for Stochastic Approximation

Dong Shen, Samer S Saab, S. Saab, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Learning Control for Networked Stochastic Systems With Random Fading Communication

Dong Shen, Ganggui Qu, Qijiang Song, 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Two novel iterative learning control schemes for systems with randomly varying trial lengths

Xuefang Li, Dong Shen, D. Shen, 2017, Syst. Control. Lett..

Adaptive Learning Control for Nonlinear Systems With Randomly Varying Iteration Lengths

Dong Shen, Jian-Xin Xu, D. Shen, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Distributed learning consensus control based on neural networks for heterogeneous nonlinear multiagent systems

Dong Shen, Chao Zhang, Jian-Xin Xu, 2019, International Journal of Robust and Nonlinear Control.

Seizure Control by a Learning Type Active Disturbance Rejection Approach

Wei Wei, Pengfei Xia, Xiaofang Wei, 2019, IEEE Access.

Zero-error convergence of iterative learning control using quantized error information

Dong Shen, Xuhui Bu, Yun Xu, 2016, IMA J. Math. Control. Inf..

Iterative learning control for discrete-time stochastic systems with quantized information

Dong Shen, Yun Xu, D. Shen, 2016, IEEE/CAA Journal of Automatica Sinica.

Point-to-Point Learning and Tracking for Networked Stochastic Systems With Fading Communications

D. Shen, Qijiang Song, Xinghuo Yu, 2023, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Performance Enhancement of Learning Tracking Systems Over Fading Channels With Multiplicative and Additive Randomness

Dong Shen, Ganggui Qu, D. Shen, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Iterative Learning Control for discrete nonlinear systems with randomly iteration varying lengths

Wei Zhang, Dong Shen, Jian-Xin Xu, 2016, Syst. Control. Lett..

Learning Control for Motion Coordination in Wafer Scanners: Toward Gain Adaptation

Jiubin Tan, Fazhi Song, Yang Liu, 2022, IEEE Transactions on Industrial Electronics.

Glucose outcomes of a learning-type artificial pancreas with an unannounced meal in type 1 diabetes

Youqing Wang, D. Shen, Wenying Yang, 2020, Comput. Methods Programs Biomed..

Learning formation control for fractional‐order multiagent systems

Dong Shen, Dahui Luo, JinRong Wang, 2018 .

Practical Learning-Tracking Framework Under Unknown Nonrepetitive Channel Randomness

D. Shen, 2023, IEEE Transactions on Automatic Control.

A Two-Dimensional Approach to Iterative Learning Control with Randomly Varying Trial Lengths

Chen Liu, JinRong Wang, Dong Shen, 2020, J. Syst. Sci. Complex..

Averaging Techniques for Balancing Learning and Tracking Abilities Over Fading Channels

Dong Shen, Xinghuo Yu, Ganggui Qu, 2020, IEEE Transactions on Automatic Control.

A Novel Markov Chain Based ILC Analysis for Linear Stochastic Systems Under General Data Dropouts Environments

Dong Shen, Jian-Xin Xu, D. Shen, 2017, IEEE Transactions on Automatic Control.

Noisy-Output-Based Direct Learning Tracking Control With Markov Nonuniform Trial Lengths Using Adaptive Gains

Dong Shen, Samer S. Saab, S. Saab, 2021, IEEE Transactions on Automatic Control.

Zero-Error Tracking Control Under Unified Quantized Iterative Learning Framework via Encoding–Decoding Method

Chao Zhang, Dong Shen, D. Shen, 2020, IEEE Transactions on Cybernetics.

Iterative Learning Control for Multi-Agent Systems Over Unknown Fading Networks

Hao Jiang, D. Shen, Xun He, 2022, 2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS).

A Novel Adaptive Gain Strategy for Stochastic Learning Control

Xiang Cheng, Hao Jiang, D. Shen, 2022, IEEE Transactions on Cybernetics.

An Iterative Learning Control Algorithm With Gain Adaptation for Stochastic Systems

Dong Shen, Jian-Xin Xu, D. Shen, 2020, IEEE Transactions on Automatic Control.

Iterative Learning Tracking for Multisensor Systems: A Weighted Optimization Approach

Dong Shen, Xinghuo Yu, Chen Liu, 2019, IEEE Transactions on Cybernetics.

Iterative Learning Control for Output Tracking of Nonlinear Systems With Unavailable State Information

D. Shen, Xuefang Li, B. Ding, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Sampled‐data iterative learning control for continuous‐time nonlinear systems with iteration‐varying lengths

Xuefang Li, Dong Shen, Lan-Jing Wang, 2018 .

Iterative Learning Control: Practical Implementation and Automation

Dong Shen, Samer Said Saab, Rayana H. Jaafar, 2022, IEEE Transactions on Industrial Electronics.

Adaptive fixed-time consensus for stochastic multi-agent systems with uncertain actuator faults.

D. Shen, Guanli Xiao, Jinrong Wang, 2023, ISA transactions.

Iterative learning control for multi-agent systems with impulsive consensus tracking

Dong Shen, Michal Fečkan, JinRong Wang, 2021 .

Adaptive Fixed-Time Antilock Control of Levitation System of High-Speed Maglev Train

D. Shen, Hongze Xu, S. Jiang, 2023, IEEE Transactions on Intelligent Vehicles.

Reliable H∞ control for uncertain nonlinear discrete-time systems subject to multiple intermittent faults in sensors and/or actuators

Dong Shen, Youqing Wang, Yuan Tao, 2015, J. Frankl. Inst..

Iterative Learning Control for Systems with Iteration-Varying Trial Lengths

Dong Shen, Xuefang Li, D. Shen, 2019 .

Iterative learning control for linear discrete delay systems via discrete matrix delayed exponential function approach

Dong Shen, JinRong Wang, D. Shen, 2018, Journal of Difference Equations and Applications.

Encoding–Decoding Mechanism-Based Finite-Level Quantized Iterative Learning Control With Random Data Dropouts

Niu Huo, Dong Shen, D. Shen, 2020, IEEE Transactions on Automation Science and Engineering.

Convergence Analysis of Dual Quantized Iterative Learning Control with Channel Fading

D. Shen, Taojun Liu, 2023, 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS).

A Novel Iterative Learning Control Approach Based on Steady-State Kalman Filtering

Dong Shen, Chen Liu, Hongze Xu, 2019, IEEE Access.

Iterative Learning Control With Unknown Control Direction: A Novel Data-Based Approach

Dong Shen, Zhongsheng Hou, Z. Hou, 2011, IEEE Transactions on Neural Networks.

Iterative Learning Control Based on First-order Accelerated Gradient Method

Hao Jiang, D. Shen, Jiaxi Qian, 2023, 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS).