Deqing Huang
Orcid: 0000-0002-8185-9030
According to our database1,
Deqing Huang
authored at least 129 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Hybrid Decision-Making for Intelligent High-Speed Train Operation: A Boundary Constraint and Pre-Evaluation Reinforcement Learning Approach.
IEEE Trans. Intell. Transp. Syst., November, 2024
Human-Robot Interactive Skill Learning and Correction for Polishing Based on Dynamic Time Warping Iterative Learning Control.
IEEE Trans. Control. Syst. Technol., November, 2024
Data-Driven Security Consensus Tracking of Multiple High-Speed Trains Under Random Topologies With Data Recovery Mechanism.
IEEE Trans. Control. Syst. Technol., November, 2024
Faded Communication-Based Coordinated Model-Free Adaptive Iterative Learning Control of Multiple HSTs Against Denial-of-Service Attacks.
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
An Efficient Federated Learning Framework for Machinery Fault Diagnosis With Improved Model Aggregation and Local Model Training.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Cooperative Operation Control of Virtual Coupling High-Speed Trains With Input Saturation and Full-State Constraints.
IEEE Trans Autom. Sci. Eng., July, 2024
Weighted Train-to-Train Communication-Based Data-Driven Consensus Tracking of Multiple HSTs Subject to Deception Attacks.
IEEE Trans. Veh. Technol., May, 2024
Path Learning by Demonstration for Iterative Human-Robot Interaction With Uncertain Time Durations.
IEEE Trans. Cogn. Dev. Syst., April, 2024
Adaptive Iterative Learning Control for Nonsquare Nonlinear Systems With Various Nonrepetitive Uncertainties: A Unified Approach.
IEEE Trans. Autom. Control., March, 2024
MFU-Net: a deep multimodal fusion network for breast cancer segmentation with dual-layer spectral detector CT.
Appl. Intell., March, 2024
Active Quantizer-Based Model-Free Adaptive Consensus Tracking for Multiple HSTs Against Sensor Bias.
IEEE Trans. Intell. Veh., January, 2024
Privacy-Enabled Secure Iterative Learning Control of Networked Systems Subject to Disclosure Attacks.
IEEE Trans. Circuits Syst. II Express Briefs, January, 2024
SCA-MADRL: Multiagent deep reinforcement learning framework based on state classification and assignment for intelligent shield attitude control.
Expert Syst. Appl., January, 2024
Sliding Mode Control for High-Speed Train via Event-Triggered Strategy Under Energy-Limited Deception Attacks.
IEEE Trans. Veh. Technol., 2024
Generalized Zero-Shot Approach Leveraging Attribute Space for High-Speed Train Bogie.
IEEE Trans. Instrum. Meas., 2024
GraphFL: Graph Federated Learning for Fault Localization of Multirailway High-Speed Train Suspension Systems.
IEEE Trans. Instrum. Meas., 2024
Lightweight FL: A Low-Cost Federated Learning Framework for Mechanical Fault Diagnosis With Training Optimization and Model Pruning.
IEEE Trans. Instrum. Meas., 2024
Model Free Adaptive Trajectory Tracking for Multiple High-Speed Trains with I/O Saturations.
Proceedings of the IEEE International Conference on Industrial Technology, 2024
Robot Skill Learning in Human-Robot Collaboration with Dynamic Time Warping Iterative Learning Control.
Proceedings of the IEEE International Conference on Industrial Technology, 2024
2023
Spatial Adaptive Iterative Learning Tracking Control for High-Speed Trains Considering Passing Through Neutral Sections.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
Distributed Event-Triggered Iterative Learning Control for Multiple High-Speed Trains With Switching Topologies: A Data-Driven Approach.
IEEE Trans. Intell. Transp. Syst., October, 2023
Path Recognition and Virtual Guides Design for Path Following Based on Human-Robot Collaboration.
IEEE Trans. Ind. Electron., October, 2023
ITFD: an instance-level triplet few-shot detection network under weighted pair-resampling.
Appl. Intell., October, 2023
Adaptive Iterative Learning Control for a Class of Nonlinear Strict-Feedback Systems With Unknown State Delays.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Spatial Iterative Learning Control With Human Guidance and Visual Detection for Path Learning and Tracking.
IEEE Trans Autom. Sci. Eng., July, 2023
Fault Diagnosis of Multi-Railway High-Speed Train Bogies by Improved Federated Learning.
IEEE Trans. Veh. Technol., June, 2023
IEEE Trans. Ind. Electron., June, 2023
Resilient Coordinated Data-Driven Control of Multiple High-Speed Trains Under Fading Measurements and Denial-of-Service Attacks.
IEEE Trans. Veh. Technol., May, 2023
Prediction of esophageal and gastric varices rebleeding for cirrhotic patients based on deep learning.
Biomed. Signal Process. Control., March, 2023
Distributed Cooperative Fault-Tolerant Control of High-Speed Trains With Input Saturation and Actuator Faults.
IEEE Trans. Intell. Veh., February, 2023
Adaptive speed tracking control for high speed trains under stochastic operation environments.
Autom., 2023
Human-Robot Collaboration for Unknown Flexible Surface Exploration and Treatment Based on Mesh Iterative Learning Control.
IROS, 2023
DenseNet Extension under the Generalized Zero-shot Learning Framework: A Novel strategy for Bogie Fault Diagnosis of High-speed Train.
Proceedings of the CAA Symposium on Fault Detection, 2023
Generalized Zero-Shot Learning Fault Diagnosis for Bogies of High-speed Trains based on Improved Generative Adversarial Networks.
Proceedings of the CAA Symposium on Fault Detection, 2023
Enhancing Robustness in Multi-modal CT Image Segmentation with a Clustering-based Deep Active Learning Approach.
Proceedings of the CAA Symposium on Fault Detection, 2023
An Extremely Lightweight Network with Blueprint Separable Convolution and Pruning for Diagnosing High-speed Train Bogie Faults.
Proceedings of the CAA Symposium on Fault Detection, 2023
Federated Transfer Learning for Fault Diagnosis of High-speed Train Bogie With Data Security and Training Optimization.
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
High-Accuracy and Adaptive Fault Diagnosis of High-Speed Train Bogie Using Dense-Squeeze Network.
IEEE Trans. Veh. Technol., 2022
A Proactive Controller for Human-Driven Robots Based on Force/Motion Observer Mechanisms.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Nonuniform Sampling Control for Multibody High-Speed Train Systems With Quantization Mechanisms via Stochastic Faded Channels.
IEEE Trans. Intell. Transp. Syst., 2022
Modeling and Second-Order Sliding Mode Control for Lateral Vibration of High-Speed Train With MR Dampers.
IEEE Trans. Intell. Transp. Syst., 2022
Accurate Parking Control for Urban Rail Trains via Robust Adaptive Backstepping Approach.
IEEE Trans. Intell. Transp. Syst., 2022
Iterative Learning Tracking Control of High-Speed Trains With Nonlinearly Parameterized Uncertainties and Multiple Time-Varying Delays.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Instrum. Meas., 2022
Stepwise Adaptive Convolutional Network for Fault Diagnosis of High-Speed Train Bogie Under Variant Running Speeds.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Cybern., 2022
IEEE Trans. Control. Syst. Technol., 2022
Iterative Learning-Based Robotic Controller With Prescribed Human-Robot Interaction Force.
IEEE Trans Autom. Sci. Eng., 2022
A Novel Iterative Learning Approach for Tracking Control of High-Speed Trains Subject to Unknown Time-Varying Delay.
IEEE Trans Autom. Sci. Eng., 2022
Optimal Time Trajectory Generation and Tracking Control for Over-Actuated Multirotors With Large-Angle Maneuvering Capability.
IEEE Robotics Autom. Lett., 2022
Adaptive neural network control for a hydraulic knee exoskeleton with valve deadband and output constraint based on nonlinear disturbance observer.
Neurocomputing, 2022
A clustered blueprint separable convolutional neural network with high precision for high-speed train bogie fault diagnosis.
Neurocomputing, 2022
Efficient Axillary Lymph Node Detection Via Two-stage Spatial-information-fusion-based CNN.
Comput. Methods Programs Biomed., 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Erratum to "Fault Diagnosis of High-Speed Train Bogie Based on the Improved-CEEMDAN and 1-D CNN Algorithms".
IEEE Trans. Instrum. Meas., 2021
Fault Diagnosis of High-Speed Train Bogie Based on the Improved-CEEMDAN and 1-D CNN Algorithms.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Control. Syst. Technol., 2021
LeanNet: An Efficient Convolutional Neural Network for Digital Number Recognition in Industrial Products.
Sensors, 2021
Sci. China Inf. Sci., 2021
Axillary lymph node metastasis prediction by contrast-enhanced computed tomography images for breast cancer patients based on deep learning.
Comput. Biol. Medicine, 2021
Waypoints updating based on Adam and ILC for path learning in physical human-robot interaction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Multi-scale Convolutional Neural Network for Fault-locating of High-speed Train Bogie.
Proceedings of the CAA Symposium on Fault Detection, 2021
2020
Multiple Convolutional Recurrent Neural Networks for Fault Identification and Performance Degradation Evaluation of High-Speed Train Bogie.
IEEE Trans. Neural Networks Learn. Syst., 2020
An Active Repetitive Learning Control Method for Lateral Suspension Systems of High-Speed Trains.
IEEE Trans. Neural Networks Learn. Syst., 2020
Robust control of two-link manipulator with disturbance torque and time-varying mass loads.
Trans. Inst. Meas. Control, 2020
Damage Localization of Stacker's Track Based on EEMD-EMD and DBSCAN Cluster Algorithms.
IEEE Trans. Instrum. Meas., 2020
IEEE Trans. Instrum. Meas., 2020
Current-Cycle Iterative Learning Control for High-Precision Position Tracking of Piezoelectric Actuator System via Active Disturbance Rejection Control for Hysteresis Compensation.
IEEE Trans. Ind. Electron., 2020
Precise control for the size of droplet in T-junction microfluidic based on iterative learning method.
J. Frankl. Inst., 2020
Neurocomputing, 2020
Iterative learning of human partner's desired trajectory for proactive human-robot collaboration.
Int. J. Intell. Robotics Appl., 2020
Robust Repetitive Learning-Based Trajectory Tracking Control for a Leg Exoskeleton Driven by Hybrid Hydraulic System.
IEEE Access, 2020
2019
IEEE Trans. Ind. Informatics, 2019
High-Precision Tracking of Piezoelectric Actuator Using Iterative Learning Control and Direct Inverse Compensation of Hysteresis.
IEEE Trans. Ind. Electron., 2019
Iterative Learning Control of Two-Phase Laminar Flow Interface in Y-Shaped Microfluidic Channel.
IEEE Trans. Control. Syst. Technol., 2019
Enhanced neural network control of lower limb rehabilitation exoskeleton by add-on repetitive learning.
Neurocomputing, 2019
Output Feedback Repetitive Learning Control of an Electrohydraulic Actuator of a Lower Limb Rehabilitation Exoskeleton.
Comput. Sci. Eng., 2019
Robust Tracking Control of a Quadrotor UAV Based on Adaptive Sliding Mode Controller.
Complex., 2019
Tracking Control via Iterative Learning for High-Speed Trains With Distributed Input Constraints.
IEEE Access, 2019
Spatial Repetitive Learning Control for Trajectory Learning in Human-Robot Collaboration.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Designing, Modeling, and Control Allocation Strategy of a Novel Omnidirectional Aerial Robot.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019
Fault Diagnosis and Tolerant Control for Sensors of PWM Rectifier Under High Switching Frequency.
Proceedings of the CAA Symposium on Fault Detection, 2019
Navigation of Simultaneous Localization and Mapping by Fusing RGB-D Camera and IMU on UAV.
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
Unmanned Syst., 2018
Adaptive Boundary Iterative Learning Control for an Euler-Bernoulli Beam System With Input Constraint.
IEEE Trans. Neural Networks Learn. Syst., 2018
Composite Energy Function-Based Spatial Iterative Learning Control in Motion Systems.
IEEE Trans. Control. Syst. Technol., 2018
Iterative learning control for boundary tracking of uncertain nonlinear wave equations.
J. Frankl. Inst., 2018
Discrete-time switching periodic adaptive control for time-varying parameters with unknown periodicity.
Int. J. Control, 2018
Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie.
Complex., 2018
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
An Improved Lateral Vibration Suppression Strategy of the High-speed Train Using Repetitive Learning Control.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018
Feedforward Control and Simulation of Laminar Flow Interface in Microfluidic Channel.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018
2017
Development and Repetitive Learning Control of Lower Limb Exoskeleton Driven by Electrohydraulic Actuators.
IEEE Trans. Ind. Electron., 2017
Expensive Control of Long-Time Averages Using Sum of Squares and Its Application to A Laminar Wake Flow.
IEEE Trans. Control. Syst. Technol., 2017
Differential evolution based high-order peak filter design with application to compensation of contact-induced vibration in HDD servo systems.
Int. J. Autom. Comput., 2017
2016
Bounds for Deterministic and Stochastic Dynamical Systems using Sum-of-Squares Optimization.
SIAM J. Appl. Dyn. Syst., 2016
Backstepping trajectory tracking control of electro-hydraulic actuators of lower limb load exoskeleton.
Proceedings of the IECON 2016, 2016
2015
A high-order internal model based iterative learning control scheme for discrete linear time-varying systems.
Int. J. Autom. Comput., 2015
Iterative learning control design for linear discrete-time systems with multiple high-order internal models.
Autom., 2015
Proceedings of the 14th European Control Conference, 2015
2014
High-Performance Tracking of Piezoelectric Positioning Stage Using Current-Cycle Iterative Learning Control With Gain Scheduling.
IEEE Trans. Ind. Electron., 2014
Contact-Induced Vibration in Dual-Stage Hard Disk Drive Servo Systems and Its Compensator Design.
IEEE Trans. Ind. Electron., 2014
An Iterative Learning Control Approach for Linear Systems With Randomly Varying Trial Lengths.
IEEE Trans. Autom. Control., 2014
Optimal iterative learning control design for multi-agent systems consensus tracking.
Syst. Control. Lett., 2014
Iterative learning control of inhomogeneous distributed parameter systems - frequency domain design and analysis.
Syst. Control. Lett., 2014
2013
Extreme Precise Motion Tracking of Piezoelectric Positioning Stage Using Sampled-Data Iterative Learning Control.
IEEE Trans. Control. Syst. Technol., 2013
D-type anticipatory iterative learning control for a class of inhomogeneous heat equations.
Autom., 2013
End-Point Regulation of a Flexible Robotic Manipulator under the Unknown Spatiotemporally Varying Disturbance.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013
Discrete-time adaptive learning control for parametric uncertainties with unknown periods.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Some New Difference Inequalities and an Application to Discrete-Time Control Systems.
J. Appl. Math., 2012
Unified iterative learning control schemes for nonlinear dynamic systems with nonlinear input uncertainties.
Autom., 2012
LQG optimal compensation of contact-induced vibration in high density HDD servo systems.
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012
Adaptive compensation of contact-induced vibration in high density HDD servo systems using peak filter method.
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012
GA based high-order peak filter design with application to compensation of contact-induced vibration in HDD servo systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Iterative learning control for systems with nonparametric uncertainties under alignment condition.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
Frequency-shaping optimal compensation of low fly-height vibration in high density HDD servo systems.
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011
2010
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010
2009
A discrete-time periodic adaptive control approach for parametric-strict-feedback systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
IEEE Trans. Autom. Control., 2008
Coexistence of Limit Cycles and Homoclinic Loops in a SIRS Model with a Nonlinear Incidence Rate.
SIAM J. Appl. Math., 2008
Autom., 2008
2007
Proceedings of the American Control Conference, 2007
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007
2005
Math. Comput. Model., 2005