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Neural-Network-Based Terminal Sliding-Mode Control of Robotic Manipulators Including Actuator Dynamics

IEEE transactions on industrial electronics (1982), 2009-09, Vol.56 (9), p.3296-3304

2009

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Adaptive Finite-Time Stabilization of a Class of Uncertain Nonlinear Systems via Logic-Based Switchings

IEEE transactions on automatic control, 2017-11, Vol.62 (11), p.5998-6003

2017

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Learning Sheared EPI Structure for Light Field Reconstruction

IEEE transactions on image processing, 2019-07, Vol.28 (7), p.3261-3273

2019

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Light Field Image Processing: An Overview

IEEE journal of selected topics in signal processing, 2017-10, Vol.11 (7), p.926-954

2017

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Online Solution of Two-Player Zero-Sum Games for Continuous-Time Nonlinear Systems With Completely Unknown Dynamics

IEEE transaction on neural networks and learning systems, 2016-12, Vol.27 (12), p.2577-2587

2016

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Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking

IEEE transactions on control systems technology, 2017-09, Vol.25 (5), p.1761-1774

2017

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Data-Driven Monitoring and Diagnosing of Abnormal Furnace Conditions in Blast Furnace Ironmaking: An Integrated PCA-ICA Method

IEEE transactions on industrial electronics (1982), 2021-01, Vol.68 (1), p.622-631

2021

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Dwell-Time-Based Observer Design for Unknown Input Switched Linear Systems Without Requiring Strong Detectability of Subsystems

IEEE transactions on automatic control, 2017-08, Vol.62 (8), p.4215-4221

2017

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Multiblock Concurrent PLS for Decentralized Monitoring of Continuous Annealing Processes

IEEE transactions on industrial electronics (1982), 2014-11, Vol.61 (11), p.6429-6437

2014

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Nonlinear Disturbance Observer-Based Control Design for a Robotic Exoskeleton Incorporating Fuzzy Approximation

IEEE transactions on industrial electronics (1982), 2015-09, Vol.62 (9), p.5763-5775

2015

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Data-Driven Robust RVFLNs Modeling of a Blast Furnace Iron-Making Process Using Cauchy Distribution Weighted M-Estimation

IEEE transactions on industrial electronics (1982), 2017-09, Vol.64 (9), p.7141-7151

2017

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Tracking Control for Linear Discrete-Time Networked Control Systems With Unknown Dynamics and Dropout

IEEE transaction on neural networks and learning systems, 2018-10, Vol.29 (10), p.4607-4620

2018

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Data-Driven Abnormal Condition Identification and Self-Healing Control System for Fused Magnesium Furnace

IEEE transactions on industrial electronics (1982), 2015-03, Vol.62 (3), p.1703-1715

2015

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A Data-Driven Dual-Rate Control Method for a Heat Exchanging Process

IEEE transactions on industrial electronics (1982), 2017-05, Vol.64 (5), p.4158-4168

2017

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Output Feedback Stabilization for a Class of Multi-Variable Bilinear Stochastic Systems With Stochastic Coupling Attenuation

IEEE transactions on automatic control, 2017-06, Vol.62 (6), p.2936-2942

2017

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Data-driven predictive control of molten iron quality in blast furnace ironmaking using multi-output LS-SVR based inverse system identification

Neurocomputing (Amsterdam), 2018-09, Vol.308, p.101-110

2018

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Networked Multirate Output Feedback Control for Setpoints Compensation and Its Application to Rougher Flotation Process

IEEE transactions on industrial electronics (1982), 2014-01, Vol.61 (1), p.460-468

2014

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Data-Based Multiobjective Plant-Wide Performance Optimization of Industrial Processes Under Dynamic Environments

IEEE transactions on industrial informatics, 2016-04, Vol.12 (2), p.454-465

2016

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Decentralized fractional-order backstepping fault-tolerant control of multi-UAVs against actuator faults and wind effects

Aerospace science and technology, 2020-09, Vol.104, p.105939, Article 105939

2020

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Nonlinear multivariable adaptive control using multiple models and neural networks

Automatica (Oxford), 2007-06, Vol.43 (6), p.1101-1110

2007

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Necessary and Sufficient Condition for Two-Player Stackelberg Strategy

IEEE transactions on automatic control, 2015-05, Vol.60 (5), p.1356-1361

2015

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A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process

European journal of operational research, 2014-07, Vol.236 (1), p.51-60

2014

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Inverse Reinforcement Learning in Tracking Control Based on Inverse Optimal Control

IEEE transactions on cybernetics, 2022-10, Vol.52 (10), p.10570-10581

2022

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Intelligence-Based Supervisory Control for Optimal Operation of a DCS-Controlled Grinding System

IEEE transactions on control systems technology, 2013-01, Vol.21 (1), p.162-175

2013

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Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence

Engineering (Beijing, China), 2021-09, Vol.7 (9), p.1224-1230

2021

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Neural-Network-Based Terminal Sliding-Mode Control of Robotic Manipulators Including Actuator Dynamics

Adaptive Finite-Time Stabilization of a Class of Uncertain Nonlinear Systems via Logic-Based Switchings

Learning Sheared EPI Structure for Light Field Reconstruction

Light Field Image Processing: An Overview

Online Solution of Two-Player Zero-Sum Games for Continuous-Time Nonlinear Systems With Completely Unknown Dynamics

Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking

Data-Driven Monitoring and Diagnosing of Abnormal Furnace Conditions in Blast Furnace Ironmaking: An Integrated PCA-ICA Method

Dwell-Time-Based Observer Design for Unknown Input Switched Linear Systems Without Requiring Strong Detectability of Subsystems

Multiblock Concurrent PLS for Decentralized Monitoring of Continuous Annealing Processes

Nonlinear Disturbance Observer-Based Control Design for a Robotic Exoskeleton Incorporating Fuzzy Approximation

Data-Driven Robust RVFLNs Modeling of a Blast Furnace Iron-Making Process Using Cauchy Distribution Weighted M-Estimation

Tracking Control for Linear Discrete-Time Networked Control Systems With Unknown Dynamics and Dropout

Data-Driven Abnormal Condition Identification and Self-Healing Control System for Fused Magnesium Furnace

A Data-Driven Dual-Rate Control Method for a Heat Exchanging Process

Output Feedback Stabilization for a Class of Multi-Variable Bilinear Stochastic Systems With Stochastic Coupling Attenuation

Data-driven predictive control of molten iron quality in blast furnace ironmaking using multi-output LS-SVR based inverse system identification

Networked Multirate Output Feedback Control for Setpoints Compensation and Its Application to Rougher Flotation Process

Data-Based Multiobjective Plant-Wide Performance Optimization of Industrial Processes Under Dynamic Environments

Decentralized fractional-order backstepping fault-tolerant control of multi-UAVs against actuator faults and wind effects

Nonlinear multivariable adaptive control using multiple models and neural networks

Necessary and Sufficient Condition for Two-Player Stackelberg Strategy

A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process

Inverse Reinforcement Learning in Tracking Control Based on Inverse Optimal Control

Intelligence-Based Supervisory Control for Optimal Operation of a DCS-Controlled Grinding System

Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence

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