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Reinforcement Learning-Based Load Forecasting of Electric Vehicle Charging Station Using Q-Learning Technique

IEEE transactions on industrial informatics, 2021-06, Vol.17 (6), p.4229-4237

2021

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Cooperative Wind Farm Control With Deep Reinforcement Learning and Knowledge-Assisted Learning

IEEE transactions on industrial informatics, 2020-11, Vol.16 (11), p.6912-6921

2020

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Learning to Fly-a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, p.7512-7519

2021

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Motor Learning and Generalization Using Broad Learning Adaptive Neural Control

IEEE transactions on industrial electronics (1982), 2020-10, Vol.67 (10), p.8608-8617

2020

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Graph Learning for Multiview Clustering

IEEE transactions on cybernetics, 2018-10, Vol.48 (10), p.2887-2895

2018

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Genetic Learning Particle Swarm Optimization

IEEE transactions on cybernetics, 2016-10, Vol.46 (10), p.2277-2290

2016

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Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT

IEEE transactions on industrial informatics, 2021-12, Vol.17 (12), p.8475-8484

2021

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Safe Reinforcement Learning Using Robust MPC

IEEE transactions on automatic control, 2021-08, Vol.66 (8), p.3638-3652

2021

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Path Learning in Human-Robot Collaboration Tasks Using Iterative Learning Methods

IEEE transactions on control systems technology, 2022-09, Vol.30 (5), p.1946-1959

2022

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Data-Driven Economic NMPC Using Reinforcement Learning

IEEE transactions on automatic control, 2020-02, Vol.65 (2), p.636-648

2020

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LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification

IEEE transactions on industrial electronics (1982), 2018-06, Vol.65 (6), p.4973-4982

2018

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Discrete-Time Deterministic Q -Learning: A Novel Convergence Analysis

IEEE transactions on cybernetics, 2017-05, Vol.47 (5), p.1224-1237

2017

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Composite Learning From Adaptive Dynamic Surface Control

IEEE transactions on automatic control, 2016-09, Vol.61 (9), p.2603-2609

2016

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DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems

IEEE transactions on industrial informatics, 2021-08, Vol.17 (8), p.5615-5624

2021

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Human-Robot Interactive Skill Learning and Correction for Polishing Based on Dynamic Time Warping Iterative Learning Control

IEEE transactions on control systems technology, 2024-07, p.1-11

2024

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A Learning-Based Stable Servo Control Strategy Using Broad Learning System Applied for Microrobotic Control

IEEE transactions on cybernetics, 2022-12, Vol.52 (12), p.13727-13737

2022

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Data-driven terminal iterative learning control with high-order learning law for a class of non-linear discrete-time multiple-input–multiple output systems

IET control theory & applications, 2015-04, Vol.9 (7), p.1075-1082

2015

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Robust Graph Learning From Noisy Data

IEEE transactions on cybernetics, 2020-05, Vol.50 (5), p.1833-1843

2020

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NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

IEEE transactions on industrial electronics (1982), 2018-05, Vol.65 (5), p.4392-4400

2018

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Detection of Malicious Code Variants Based on Deep Learning

IEEE transactions on industrial informatics, 2018-07, Vol.14 (7), p.3187-3196

2018

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Differential Temporal Difference Learning

IEEE transactions on automatic control, 2021-10, Vol.66 (10), p.4652-4667

2021

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Rational Basis Functions in Iterative Learning Control-With Experimental Verification on a Motion System

IEEE transactions on control systems technology, 2015-03, Vol.23 (2), p.722-729

2015

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Significant Permission Identification for Machine-Learning-Based Android Malware Detection

IEEE transactions on industrial informatics, 2018-07, Vol.14 (7), p.3216-3225

2018

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Kullback-Leibler Divergence Metric Learning

IEEE transactions on cybernetics, 2022-04, Vol.52 (4), p.2047-2058

2022

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A Survey of Optimization Methods From a Machine Learning Perspective

IEEE transactions on cybernetics, 2020-08, Vol.50 (8), p.3668-3681

2020

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Reinforcement Learning-Based Load Forecasting of Electric Vehicle Charging Station Using Q-Learning Technique

Cooperative Wind Farm Control With Deep Reinforcement Learning and Knowledge-Assisted Learning

Learning to Fly-a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control

Motor Learning and Generalization Using Broad Learning Adaptive Neural Control

Graph Learning for Multiview Clustering

Genetic Learning Particle Swarm Optimization

Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT

Safe Reinforcement Learning Using Robust MPC

Path Learning in Human-Robot Collaboration Tasks Using Iterative Learning Methods

Data-Driven Economic NMPC Using Reinforcement Learning

LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification

Discrete-Time Deterministic Q -Learning: A Novel Convergence Analysis

Composite Learning From Adaptive Dynamic Surface Control

DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems

Human-Robot Interactive Skill Learning and Correction for Polishing Based on Dynamic Time Warping Iterative Learning Control

A Learning-Based Stable Servo Control Strategy Using Broad Learning System Applied for Microrobotic Control

Data-driven terminal iterative learning control with high-order learning law for a class of non-linear discrete-time multiple-input–multiple output systems

Robust Graph Learning From Noisy Data

NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

Detection of Malicious Code Variants Based on Deep Learning

Differential Temporal Difference Learning

Rational Basis Functions in Iterative Learning Control-With Experimental Verification on a Motion System

Significant Permission Identification for Machine-Learning-Based Android Malware Detection

Kullback-Leibler Divergence Metric Learning

A Survey of Optimization Methods From a Machine Learning Perspective

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