Tianyou Chai

According to our database1, Tianyou Chai authored at least 299 papers between 1996 and 2021.

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Bibliography

2021
DMGAN: Adversarial Learning-Based Decision Making for Human-Level Plant-Wide Operation of Process Industries Under Uncertainties.
IEEE Trans. Neural Networks Learn. Syst., 2021

Data-Driven Monitoring and Diagnosing of Abnormal Furnace Conditions in Blast Furnace Ironmaking: An Integrated PCA-ICA Method.
IEEE Trans. Ind. Electron., 2021

Fast just-in-time-learning recursive multi-output LSSVR for quality prediction and control of multivariable dynamic systems.
Eng. Appl. Artif. Intell., 2021

Compensation-signal-driven control for a class of nonlinear uncertain systems.
Autom., 2021

2020
Nonlinear Multiobjective MPC-Based Optimal Operation of a High Consistency Refining System in Papermaking.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Motion Tracking Control Design for a Class of Nonholonomic Mobile Robot Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Model-Free Optimal Output Regulation for Linear Discrete-Time Lossy Networked Control Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Ensemble Stochastic Configuration Networks for Estimating Prediction Intervals: A Simultaneous Robust Training Algorithm and Its Application.
IEEE Trans. Neural Networks Learn. Syst., 2020

New Methods for Optimal Operational Control of Industrial Processes Using Reinforcement Learning on Two Time Scales.
IEEE Trans. Ind. Informatics, 2020

Mesoscale Particle Size Predictive Model for Operational Optimal Control of Bauxite Ore Grinding Process.
IEEE Trans. Ind. Informatics, 2020

Deep-Neural-Network-Based Economic Model Predictive Control for Ultrasupercritical Power Plant.
IEEE Trans. Ind. Informatics, 2020

Signal Compensation Based Adaptive Cascade Control for Regrinding Processes.
IEEE Trans. Ind. Electron., 2020

Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions.
IEEE Trans. Evol. Comput., 2020

A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2020

Robust Online Sequential RVFLNs for Data Modeling of Dynamic Time-Varying Systems With Application of an Ironmaking Blast Furnace.
IEEE Trans. Cybern., 2020

Nonzero-Sum Game Reinforcement Learning for Performance Optimization in Large-Scale Industrial Processes.
IEEE Trans. Cybern., 2020

Optimal Output Regulation of Linear Discrete-Time Systems With Unknown Dynamics Using Reinforcement Learning.
IEEE Trans. Cybern., 2020

Dual-Rate Adaptive Decoupling Controller and Its Application to a Dual-Tank Water System.
IEEE Trans. Control. Syst. Technol., 2020

Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties.
IEEE Trans. Control. Syst. Technol., 2020

Set-Valued Feedback Control and Its Application to Event-Triggered Sampled-Data Systems.
IEEE Trans. Autom. Control., 2020

Spatial-Angular Attention Network for Light Field Reconstruction.
CoRR, 2020

Dynamic performance enhancement for nonlinear stochastic systems using RBF driven nonlinear compensation with extended Kalman filter.
Autom., 2020

Cooperative adaptive optimal output regulation of nonlinear discrete-time multi-agent systems.
Autom., 2020

Linear Convergence for Distributed Optimization Without Strong Convexity.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

A Distributed Primal-Dual Algorithm for Bandit Online Convex Optimization with Time-Varying Coupled Inequality Constraints.
Proceedings of the 2020 American Control Conference, 2020

2019
Off-Policy Interleaved $Q$ -Learning: Optimal Control for Affine Nonlinear Discrete-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2019

Learning Sheared EPI Structure for Light Field Reconstruction.
IEEE Trans. Image Process., 2019

Operational Control of Mineral Grinding Processes Using Adaptive Dynamic Programming and Reference Governor.
IEEE Trans. Ind. Informatics, 2019

Intelligent Demand Forecasting of Smelting Process Using Data-Driven and Mechanism Model.
IEEE Trans. Ind. Electron., 2019

Geometric Analysis Based Double Closed-Loop Iterative Learning Control of Output PDF Shaping of Fiber Length Distribution in Refining Process.
IEEE Trans. Ind. Electron., 2019

Dual-Rate Operational Optimal Control for Flotation Industrial Process With Unknown Operational Model.
IEEE Trans. Ind. Electron., 2019

Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Generalized Multitasking for Evolutionary Optimization of Expensive Problems.
IEEE Trans. Evol. Comput., 2019

Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems.
IEEE Trans. Cybern., 2019

Security-Aware Cross-Layer Resource Allocation for Heterogeneous Wireless Networks.
IEEE Trans. Commun., 2019

Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes.
IEEE Trans Autom. Sci. Eng., 2019

Bounds on Delay Consensus Margin of Second-Order Multiagent Systems With Robust Position and Velocity Feedback Protocol.
IEEE Trans. Autom. Control., 2019

Dwell-Time-Based Standard $H_\infty$ Control of Switched Systems Without Requiring Internal Stability of Subsystems.
IEEE Trans. Autom. Control., 2019

Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Stochastic configuration networks with block increments for data modeling in process industries.
Inf. Sci., 2019

Data modeling for quality prediction using improved orthogonal incremental random vector functional-link networks.
Neurocomputing, 2019

LapEPI-Net: A Laplacian Pyramid EPI structure for Learning-based Dense Light Field Reconstruction.
CoRR, 2019

Distributed Consensus-based Kalman Filtering for Estimation with Multiple Moving Targets.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Security-Aware Proportional Fairness Resource Allocation for Cognitive Heterogeneous Networks.
IEEE Trans. Veh. Technol., 2018

Virtual Unmodeled Dynamics Modeling for Nonlinear Multivariable Adaptive Control With Decoupling Design.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Data-Driven Robust M-LS-SVR-Based NARX Modeling for Estimation and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking.
IEEE Trans. Neural Networks Learn. Syst., 2018

Nonlinear Decoupling Control With ANFIS-Based Unmodeled Dynamics Compensation for a Class of Complex Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., 2018

Tracking Control for Linear Discrete-Time Networked Control Systems With Unknown Dynamics and Dropout.
IEEE Trans. Neural Networks Learn. Syst., 2018

Data-Driven Flotation Industrial Process Operational Optimal Control Based on Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2018

Nonlinear Control Tools for Fused Magnesium Furnaces: Design and Implementation.
IEEE Trans. Ind. Electron., 2018

Dual-Rate Adaptive Control for Mixed Separation Thickening Process Using Compensation Signal Based Approach.
IEEE Trans. Ind. Electron., 2018

Off-Policy Q-Learning: Set-Point Design for Optimizing Dual-Rate Rougher Flotation Operational Processes.
IEEE Trans. Ind. Electron., 2018

Data-Driven PID Controller and Its Application to Pulp Neutralization Process.
IEEE Trans. Control. Syst. Technol., 2018

EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems.
IEEE Trans. Autom. Control., 2018

Stabilization of Switched Linear Neutral Systems: An Event-Triggered Sampling Control Scheme.
IEEE Trans. Autom. Control., 2018

Modeling error PDF optimization based wavelet neural network modeling of dynamic system and its application in blast furnace ironmaking.
Neurocomputing, 2018

Data-driven predictive control of molten iron quality in blast furnace ironmaking using multi-output LS-SVR based inverse system identification.
Neurocomputing, 2018

Combinatorial optimization of input features and learning parameters for decorrelated neural network ensemble-based soft measuring model.
Neurocomputing, 2018

Incremental data-driven optimization of complex systems in nonstationary environments.
Sci. China Inf. Sci., 2018

Scheduling Method for Steelmaking and Continuous Casting Production Based on Heuristic Algorithm and Variable Neighborhood Search Algorithm.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Model Free Adaptive Predictive Control of Multivariate Molten Iron Quality in Blast Furnace Ironmaking.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Bounds on Delay Margin for Consensus of Second-Order Multi-Agent Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Dual-rate adaptive decoupling controller and its application to a dual-tank water system.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
An Alternating Identification Algorithm for a Class of Nonlinear Dynamical Systems.
IEEE Trans. Neural Networks Learn. Syst., 2017

Off-Policy Reinforcement Learning for Synchronization in Multiagent Graphical Games.
IEEE Trans. Neural Networks Learn. Syst., 2017

Unevenly Sampled Dynamic Data Modeling and Monitoring With an Industrial Application.
IEEE Trans. Ind. Informatics, 2017

Data-Driven Robust RVFLNs Modeling of a Blast Furnace Iron-Making Process Using Cauchy Distribution Weighted M-Estimation.
IEEE Trans. Ind. Electron., 2017

Identification and Trajectory Tracking Control of Nonlinear Singularly Perturbed Systems.
IEEE Trans. Ind. Electron., 2017

A Data-Driven Dual-Rate Control Method for a Heat Exchanging Process.
IEEE Trans. Ind. Electron., 2017

Off-Policy Reinforcement Learning: Optimal Operational Control for Two-Time-Scale Industrial Processes.
IEEE Trans. Cybern., 2017

Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking.
IEEE Trans. Control. Syst. Technol., 2017

Output Feedback Stabilization for a Class of Multi-Variable Bilinear Stochastic Systems With Stochastic Coupling Attenuation.
IEEE Trans. Autom. Control., 2017

Dwell-Time-Based Observer Design for Unknown Input Switched Linear Systems Without Requiring Strong Detectability of Subsystems.
IEEE Trans. Autom. Control., 2017

Adaptive Finite-Time Stabilization of a Class of Uncertain Nonlinear Systems via Logic-Based Switchings.
IEEE Trans. Autom. Control., 2017

An online learning neural network ensembles with random weights for regression of sequential data stream.
Soft Comput., 2017

Light Field Image Processing: An Overview.
IEEE J. Sel. Top. Signal Process., 2017

Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm.
Neurocomputing, 2017

Modeling collinear data using double-layer GA-based selective ensemble kernel partial least squares algorithm.
Neurocomputing, 2017

MPC-based setpoint compensation with unreliable wireless communications and constrained operational conditions.
Neurocomputing, 2017

Configurable Platform for Optimal-Setting Control of Grinding Processes.
IEEE Access, 2017

Robust Regularized Random Vector Functional Link Network and Its Industrial Application.
IEEE Access, 2017

Modeling mill load parameter based on LASSO using multi-scale high dimensional frequency spectra data<sup>1</sup>.
Proceedings of the IEEE International Conference on Information and Automation, 2017

Motion tracking control of nonholonomic systems including actuator dynamics.
Proceedings of the 2nd International Conference on Advanced Robotics and Mechatronics, 2017

Light Field Reconstruction Using Deep Convolutional Network on EPI.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Software platform for optimal setting control of complex industrial processes.
Proceedings of the 2017 American Control Conference, 2017

2016
An Effective Heuristic Rescheduling Method for Steelmaking and Continuous Casting Production Process With Multirefining Modes.
IEEE Trans. Syst. Man Cybern. Syst., 2016

Online Solution of Two-Player Zero-Sum Games for Continuous-Time Nonlinear Systems With Completely Unknown Dynamics.
IEEE Trans. Neural Networks Learn. Syst., 2016

A Comparative Study That Measures Ball Mill Load Parameters Through Different Single-Scale and Multiscale Frequency Spectra-Based Approaches.
IEEE Trans. Ind. Informatics, 2016

Data-Based Multiobjective Plant-Wide Performance Optimization of Industrial Processes Under Dynamic Environments.
IEEE Trans. Ind. Informatics, 2016

Performance-Based Adaptive Fuzzy Tracking Control for Networked Industrial Processes.
IEEE Trans. Cybern., 2016

Nonlinear Control of Systems Preceded by Preisach Hysteresis Description: A Prescribed Adaptive Control Approach.
IEEE Trans. Control. Syst. Technol., 2016

Fault-Tolerant Control of a Class of Switched Nonlinear Systems With Structural Uncertainties.
IEEE Trans. Circuits Syst. II Express Briefs, 2016

Comprehensive Monitoring of Nonlinear Processes Based on Concurrent Kernel Projection to Latent Structures.
IEEE Trans Autom. Sci. Eng., 2016

Kernel latent features adaptive extraction and selection method for multi-component non-stationary signal of industrial mechanical device.
Neurocomputing, 2016

An intelligent factory-wide optimal operation system for continuous production process.
Enterp. Inf. Syst., 2016

Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming.
Autom., 2016

Sampled-data-based stabilization of switched linear neutral systems.
Autom., 2016

Small data driven evolutionary multi-objective optimization of fused magnesium furnaces.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Feature selection based on concurrent projection to latent structures for high dimensional spectra data.
Proceedings of the IEEE International Conference on Information and Automation, 2016

Research methods review of magnetic materials multi-process coordination production planning and scheduling.
Proceedings of the 14th International Conference on Control, 2016

Reference point based prediction for evolutionary dynamic multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Multisource Data Ensemble Modeling for Clinker Free Lime Content Estimate in Rotary Kiln Sintering Processes.
IEEE Trans. Syst. Man Cybern. Syst., 2015

Robust Adaptive Dynamic Programming of Two-Player Zero-Sum Games for Continuous-Time Linear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015

Data-Driven Abnormal Condition Identification and Self-Healing Control System for Fused Magnesium Furnace.
IEEE Trans. Ind. Electron., 2015

Nonlinear Disturbance Observer-Based Control Design for a Robotic Exoskeleton Incorporating Fuzzy Approximation.
IEEE Trans. Ind. Electron., 2015

Data-Driven Optimization Control for Safety Operation of Hematite Grinding Process.
IEEE Trans. Ind. Electron., 2015

Magnetic Material Group Furnace Problem Modeling and the Specialization of the Genetic Algorithm.
IEEE Trans. Engineering Management, 2015

Intelligence-Based Temperature Switching Control for Cement Raw Meal Calcination Process.
IEEE Trans. Control. Syst. Technol., 2015

An Effective Subgradient Method for Scheduling a Steelmaking-Continuous Casting Process.
IEEE Trans Autom. Sci. Eng., 2015

Necessary and Sufficient Condition for Two-Player Stackelberg Strategy.
IEEE Trans. Autom. Control., 2015

Multivariable dynamic modeling for molten iron quality using online sequential random vector functional-link networks with self-feedback connections.
Inf. Sci., 2015

An improved multi-source based soft sensor for measuring cement free lime content.
Inf. Sci., 2015

Engineering-oriented simulation platform for laminar cooling process of hot rolled strips.
Int. J. Simul. Process. Model., 2015

Guest Editorial: Special issue on computational intelligence for industrial data processing and analysis.
Neurocomputing, 2015

Multi-frequency signal modeling using empirical mode decomposition and PCA with application to mill load estimation.
Neurocomputing, 2015

Particle size estimate of grinding processes using random vector functional link networks with improved robustness.
Neurocomputing, 2015

Global finite-time stabilization of a class of switched nonlinear systems with the powers of positive odd rational numbers.
Autom., 2015

Modeling high dimensional frequency spectral data based on virtual sample generation technique.
Proceedings of the IEEE International Conference on Information and Automation, 2015

Minimized coupling in probability sense for a class of multivariate dynamic stochastic control systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A new control scheme for non-affine nonlinear discrete-time systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Wireless network based operational optimization and control for a class of industrial processes.
Proceedings of the 10th Asian Control Conference, 2015

Setpoint dynamic compensation via output feedback control with network induced time delays.
Proceedings of the American Control Conference, 2015

Robust adaptive quadratic tracking control of continuous-time linear systems with unknown dynamics.
Proceedings of the American Control Conference, 2015

2014
A Novel Estimation Algorithm Based on Data and Low-Order Models for Virtual Unmodeled Dynamics.
IEEE Trans. Neural Networks Learn. Syst., 2014

Neural-Network-Friction Compensation-Based Energy Swing-Up Control of Pendubot.
IEEE Trans. Ind. Electron., 2014

Multiblock Concurrent PLS for Decentralized Monitoring of Continuous Annealing Processes.
IEEE Trans. Ind. Electron., 2014

Networked Multirate Output Feedback Control for Setpoints Compensation and Its Application to Rougher Flotation Process.
IEEE Trans. Ind. Electron., 2014

Multivariable Disturbance Observer Based Advanced Feedback Control Design and Its Application to a Grinding Circuit.
IEEE Trans. Control. Syst. Technol., 2014

Fuzzy Neural-Network Friction Compensation-Based Singularity Avoidance Energy Swing-Up to Nonequilibrium Unstable Position Control of Pendubot.
IEEE Trans. Control. Syst. Technol., 2014

Data-Driven Soft-Sensor Modeling for Product Quality Estimation Using Case-Based Reasoning and Fuzzy-Similarity Rough Sets.
IEEE Trans Autom. Sci. Eng., 2014

Modeling and Simulation of Whole Ball Mill Grinding Plant for Integrated Control.
IEEE Trans Autom. Sci. Eng., 2014

Compensation of Hysteresis Nonlinearity in Magnetostrictive Actuators With Inverse Multiplicative Structure for Preisach Model.
IEEE Trans Autom. Sci. Eng., 2014

Multifurnace Optimization in Electric Smelting Plants by Load Scheduling and Control.
IEEE Trans Autom. Sci. Eng., 2014

Guest Editorial Integrated Optimization of Industrial Automation.
IEEE Trans Autom. Sci. Eng., 2014

Integrated Optimization for the Automation Systems of Mineral Processing.
IEEE Trans Autom. Sci. Eng., 2014

Data-based adaptive online prediction model for plant-wide production indices.
Knowl. Inf. Syst., 2014

A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process.
Eur. J. Oper. Res., 2014

Data mining based noise diagnosis and fuzzy filter design for image processing.
Comput. Electr. Eng., 2014

GA-based principal component selection for production performance estimation in mineral processing.
Comput. Electr. Eng., 2014

Optimal operational control for complex industrial processes.
Annu. Rev. Control., 2014

Distributed nonlinear control of multi-agent systems with switching topologies.
Proceedings of the IEEE International Conference on Information and Automation, 2014

Robust prediction for quality of industrial processes.
Proceedings of the IEEE International Conference on Information and Automation, 2014

Decentralized control of multiple cooperative manipulators with impedance interaction using fuzzy systems.
Proceedings of the IEEE International Conference on Information and Automation, 2014

Modeling load parameters of ball mill using frequency spectral features based on Hilbert vibration decomposition.
Proceedings of the IEEE International Conference on Information and Automation, 2014

Effect of pseudo gradient on differential evolutionary for global numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Multi-directional reconstruction based contributions for root-cause diagnosis of dynamic processes.
Proceedings of the American Control Conference, 2014

2013
Self-Tuning Control With a Filter and a Neural Compensator for a Class of Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2013

Integrated Network-Based Model Predictive Control for Setpoints Compensation in Industrial Processes.
IEEE Trans. Ind. Informatics, 2013

An Improved Estimation Method for Unmodeled Dynamics Based on ANFIS and Its Application to Controller Design.
IEEE Trans. Fuzzy Syst., 2013

Intelligence-Based Supervisory Control for Optimal Operation of a DCS-Controlled Grinding System.
IEEE Trans. Control. Syst. Technol., 2013

Adaptive Decoupling Switching Control of the Forced-Circulation Evaporation System Using Neural Networks.
IEEE Trans. Control. Syst. Technol., 2013

Two-Level Production Plan Decomposition Based on a Hybrid MOEA for Mineral Processing.
IEEE Trans Autom. Sci. Eng., 2013

Modeling Load Parameters of Ball Mill in Grinding Process Based on Selective Ensemble Multisensor Information.
IEEE Trans Autom. Sci. Eng., 2013

Decentralized Fault Diagnosis of Continuous Annealing Processes Based on Multilevel PCA.
IEEE Trans Autom. Sci. Eng., 2013

Estimation of effluent quality using PLS-based extreme learning machines.
Neural Comput. Appl., 2013

Burning state recognition of rotary kiln using ELMs with heterogeneous features.
Neurocomputing, 2013

Motion/force tracking control of nonholonomic mechanical systems via combining cascaded design and backstepping.
Autom., 2013

Robust adaptive regulation of discrete time nonlinear systems with arbitrary nonlinearities.
Autom., 2013

A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing.
Appl. Soft Comput., 2013

Iterative learning based particle size distribution control in grinding process using output PDF method.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

An intelligent temperature switching control for cement raw meal calcination process.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

A multiobjective particle swarm optimization algorithm for load scheduling in electric smelting furnaces.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013

Setpoints compensation in industrial processes via multirate output feedback control.
Proceedings of the 9th Asian Control Conference, 2013

2012
Modeling and Monitoring of Dynamic Processes.
IEEE Trans. Neural Networks Learn. Syst., 2012

Flame Image-Based Burning State Recognition for Sintering Process of Rotary Kiln Using Heterogeneous Features and Fuzzy Integral.
IEEE Trans. Ind. Informatics, 2012

Knowledge-Based Global Operation of Mineral Processing Under Uncertainty.
IEEE Trans. Ind. Informatics, 2012

Modeling Component Concentrations of Sodium Aluminate Solution Via Hammerstein Recurrent Neural Networks.
IEEE Trans. Control. Syst. Technol., 2012

Neural-Network-Based Contouring Control for Robotic Manipulators in Operational Space.
IEEE Trans. Control. Syst. Technol., 2012

An Intelligent Mill Load Switching Control of the Pulverizing System for an Alumina Sintering Process.
IEEE Trans. Control. Syst. Technol., 2012

DOB Design for Nonminimum-Phase Delay Systems and Its Application in Multivariable MPC Control.
IEEE Trans. Circuits Syst. II Express Briefs, 2012

Predicting mill load using partial least squares and extreme learning machines.
Soft Comput., 2012

On-line principal component analysis with application to process modeling.
Neurocomputing, 2012

Soft sensor for parameters of mill load based on multi-spectral segments PLS sub-models and on-line adaptive weighted fusion algorithm.
Neurocomputing, 2012

Selective ensemble extreme learning machine modeling of effluent quality in wastewater treatment plants.
Int. J. Autom. Comput., 2012

Hybrid intelligent parameter estimation based on grey case-based reasoning for laminar cooling process.
Eng. Appl. Artif. Intell., 2012

Modeling Spectral Data Based on Mutual Information and Kernel Extreme Learning Machines.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Multi-class Classification with One-Against-One Using Probabilistic Extreme Learning Machine.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Selective Ensemble Modeling Parameters of Mill Load Based on Shell Vibration Signal.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Feature Selection of Frequency Spectrum for Modeling Difficulty to Measure Process Parameters.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Improved genetic algorithm for magnetic material two-stage multi-product production scheduling: A case study.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Non-stationary Kalman filter parametrization of subspace models with applications to MPC.
Proceedings of the American Control Conference, 2012

Modeling and compensation of asymmetric hysteresis nonlinearity for magnetostrictive actuators with an asymmetric shifted Prandtl-Ishlinskii model.
Proceedings of the American Control Conference, 2012

Hybrid intelligent optimal control for flotation processes.
Proceedings of the American Control Conference, 2012

Robust adaptive decoupling control based on a reduced order model.
Proceedings of the American Control Conference, 2012

2011
A Nonlinear Control Method Based on ANFIS and Multiple Models for a Class of SISO Nonlinear Systems and Its Application.
IEEE Trans. Neural Networks, 2011

Data-Based Hybrid Tension Estimation and Fault Diagnosis of Cold Rolling Continuous Annealing Processes.
IEEE Trans. Neural Networks, 2011

Offline Modeling for Product Quality Prediction of Mineral Processing Using Modeling Error PDF Shaping and Entropy Minimization.
IEEE Trans. Neural Networks, 2011

Data-Based Virtual Unmodeled Dynamics Driven Multivariable Nonlinear Adaptive Switching Control.
IEEE Trans. Neural Networks, 2011

Guest Editorial Data-Based Control, Modeling, and Optimization.
IEEE Trans. Neural Networks, 2011

Extraction and Adaptation of Fuzzy Rules for Friction Modeling and Control Compensation.
IEEE Trans. Fuzzy Syst., 2011

Multiobjective Production Planning Optimization Using Hybrid Evolutionary Algorithms for Mineral Processing.
IEEE Trans. Evol. Comput., 2011

Lur'e Lyapunov Function and Absolute Stability Criterion for Lur'e Singularly Perturbed Systems.
IEEE Trans. Autom. Control., 2011

Nonlinear Robust PLS Modeling of Wastewater Effluent Quality Indices.
J. Softw., 2011

PCA and neural networks-based soft sensing strategy with application in sodium aluminate solution.
J. Exp. Theor. Artif. Intell., 2011

Indirect self-tuning control using multiple models for non-affine nonlinear systems.
Int. J. Control, 2011

KPCA based multi-spectral segments feature extraction and GA based Combinatorial optimization for frequency spectrum data modeling.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Intelligent setting control of raw meal calcination proces.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Gabor filter and eigen-flame image-based burning state recognition for sintering process of rotary kiln.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Robust self-tuning PID-like control with a filter for a class of discrete time systems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Soft sensing of sodium aluminate solution component concentrations via on-line clustering and fuzzy modeling.
Proceedings of the American Control Conference, 2011

Adaptive decoupling control of the forced-circulation evaporation system using neural networks and multiple models.
Proceedings of the American Control Conference, 2011

2010
Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Partial Least Squares.
IEEE Trans. Ind. Informatics, 2010

An Adaptive Generalized Predictive Control Method for Nonlinear Systems Based on ANFIS and Multiple Models.
IEEE Trans. Fuzzy Syst., 2010

An improved constraint satisfaction adaptive neural network for job-shop scheduling.
J. Sched., 2010

State observer-based adaptive fuzzy output-feedback control for a class of uncertain nonlinear systems.
Inf. Sci., 2010

Soft sensing method for magnetic tube recovery ratio via fuzzy systems and neural networks.
Neurocomputing, 2010

Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks.
Int. J. Neural Syst., 2010

Distribution function tracking filter design using hybrid characteristic functions.
Autom., 2010

Hybrid intelligent pre-processing system of parameters in heating furnace control.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Selection of Gabor filters for improved texture feature extraction.
Proceedings of the International Conference on Image Processing, 2010

Designing compact Gabor filter banks for efficient texture feature extraction.
Proceedings of the 11th International Conference on Control, 2010

Hybrid intelligent control for a closed-circuit grinding process.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Generalized predictive control method for a class of nonlinear systems using ANFIS and multiple models.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A nonlinear switching control method for a class of non-minimum-phase nonlinear systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Stability and strong passivity of nonlinear descriptor systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Hybrid intelligent optimal control of fused magnesium furnaces.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Tension soft sensor of continuous annealing lines using cascade frequency domain observer with combined PCA and neural networks error compensation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Large-dimensional multi-objective evolutionary algorithms based on improved average ranking.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Dynamic prediction model for mixed concentrate grade of mineral processing plant.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Scheduling of steel-making and continuous casting system using the surrogate subgradient algorithm for lagrangian relaxation.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2010

Modelling of mill load for wet ball mill via GA and SVM based on spectral feature.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Multi-objective minimum entropy controller design for stochastic processes.
Proceedings of the American Control Conference, 2010

2009
An ILC-Based Adaptive Control for General Stochastic Systems With Strictly Decreasing Entropy.
IEEE Trans. Neural Networks, 2009

The Development of Fuzzy Rough Sets with the Use of Structures and Algebras of Axiomatic Fuzzy Sets.
IEEE Trans. Knowl. Data Eng., 2009

Neural-Network-Based Terminal Sliding-Mode Control of Robotic Manipulators Including Actuator Dynamics.
IEEE Trans. Ind. Electron., 2009

Intelligent Decoupling Control of Nonlinear Multivariable Systems and its Application to a Wind Tunnel System.
IEEE Trans. Control. Syst. Technol., 2009

Intelligent Optimal-Setting Control for Grinding Circuits of Mineral Processing Process.
IEEE Trans Autom. Sci. Eng., 2009

Entropy Optimization Filtering for Fault Isolation of Nonlinear Non-Gaussian Stochastic Systems.
IEEE Trans. Autom. Control., 2009

A hybrid intelligent optimal control method for complex flotation process.
Int. J. Syst. Sci., 2009

New approaches on H<sub>infinity</sub> control of T-S fuzzy systems with interval time-varying delay.
Fuzzy Sets Syst., 2009

The intelligent setting control of the mill load in pulverizing system for an alumina sintering process.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

An intelligent mill load switching control of pulverizing system for an alumina sintering process.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Nonlinear adaptive generalized predictive control method based on ANFIS and switching control.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Nonlinear adaptive control method based on ANFIS and multiple models.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Observer design for a class of nonlinear descriptor systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

The hybrid intelligent control for the fused magnesia production.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Multivariable nonlinear dynamic modeling based on DPLS and Hammerstein model and its application.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Modeling and gain scheduling adaptive control of tension control system for continuous annealing process.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Eigen-flame image-based robust recognition of burning states for sintering process control of rotary kiln.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Indirect self-tuning control of a nonlinear non-minimum phase system.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Intelligent prediction method of technical indices in the industrial process and its application.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Frequency-domain weighted RLS model reduction for complex SISO linear system.
Proceedings of the American Control Conference, 2009

Delay-dependent robust model predictive control for time-delay systems with input constraints.
Proceedings of the American Control Conference, 2009

Algorithm for very fast computation of Least Absolute Value regression.
Proceedings of the American Control Conference, 2009

Stable multiple model adaptive control of nonlinear multivariable discrete-time systems.
Proceedings of the American Control Conference, 2009

Data mining based feedback regulation in operation of hematite ore mineral processing plant.
Proceedings of the American Control Conference, 2009

2008
Output Feedback NN Control for Two Classes of Discrete-Time Systems With Unknown Control Directions in a Unified Approach.
IEEE Trans. Neural Networks, 2008

Case-Based Decision Making Model for Supervisory Control of Ore Roasting Process.
Proceedings of the Advances in Neural Networks, 2008

Optimization Approach of Sintering Feature Parameter Based on Fuzzy SVM.
Proceedings of the International Symposium on Information Processing, 2008

Stable adaptive neural network control of MIMO nonaffine nonlinear discrete-time systems.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Adaptive model reference control of a class of MIMO discrete-time systems with compensation of nonparametric uncertainty.
Proceedings of the American Control Conference, 2008

Multivariable decoupling internal model control for grinding circuit.
Proceedings of the American Control Conference, 2008

2007
Guaranteed Cost Networked Control for T-S Fuzzy Systems With Time Delays.
IEEE Trans. Syst. Man Cybern. Part C, 2007

Neural-Network-Based Nonlinear Adaptive Dynamical Decoupling Control.
IEEE Trans. Neural Networks, 2007

Passivity and Passification for Networked Control Systems.
SIAM J. Control. Optim., 2007

Approaches to the representations and logic operations of fuzzy concepts in the framework of axiomatic fuzzy set theory II.
Inf. Sci., 2007

Approaches to the representations and logic operations of fuzzy concepts in the framework of axiomatic fuzzy set theory I.
Inf. Sci., 2007

Direct neural network-based self-tuning control for a class of nonlinear systems.
Int. J. Syst. Sci., 2007

Nonlinear multivariable adaptive control using multiple models and neural networks.
Autom., 2007

A Novel Approach for Extraction of Fuzzy Rules Using the Neuro-fuzzy Network and Its Application in the Blending Process of Raw Slurry.
Proceedings of the Advances in Neural Networks, 2007

An intelligent approach for supervisory control of grinding product particle size.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Intelligent decoupling control of nonlinear multivariable systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Hybrid Intelligent Forecasting Method of the Laminar Cooling Process for Hot Strip.
Proceedings of the American Control Conference, 2007

Stable Adaptive Neural Network Control of Nonaffine Nonlinear Discrete-Time Systems and Application.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

Pattern-based Hybrid Intelligent Control for Rotary Kiln Process.
Proceedings of the IEEE International Conference on Control Applications, 2007

Interactive Software Platform of Intelligent Supervisory Control for the Mineral Grinding Process.
Proceedings of the IEEE International Conference on Control Applications, 2007

2006
Laminar Cooling Process Model Development Using RBF Networks.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Hybrid Intelligent Control Strategy of the Laminar Cooling Process.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

The Design and Development of A Scheduling System for Steelmaking and Continuous Casting based on Component Technology.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Hybrid Intelligent System for Supervisory Control of Mineral Grinding Process.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Multiple Bilinear Models Based Soft-Sensor for Rare Earth Cascade Extraction Processes.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
The fuzzy clustering analysis based on AFS theory.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Comment on "Discrete-time optimal fuzzy controller design: global concept approach".
IEEE Trans. Fuzzy Syst., 2005

Wastewater BOD Forecasting Model for Optimal Operation Using Robust Time-Delay Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Compensating Modeling and Control for Friction Using RBF Adaptive Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A Hybrid Intelligent Soft-Sensor Model for Dynamic Particle Size Estimation in Grinding Circuits.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Intelligent Optimal Control in Rare-Earth Countercurrent Extraction Process <i>via</i> Soft-Sensor.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Component Content Soft-Sensor Based on Adaptive Fuzzy System in Rare-Earth Countercurrent Extraction Process.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

A Dual-Mode Fuzzy Model Predictive Control Scheme for Unknown Continuous Nonlinear System.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
The analysis of the convergence speed for an iterative learning scheme.
Proceedings of the 8th International Conference on Control, 2004

High-order open and closed loop iterative learning control scheme with initial state learning.
Proceedings of the 8th International Conference on Control, 2004

Friction compensating modeling and control based on adaptive fuzzy system.
Proceedings of the 8th International Conference on Control, 2004

Observer-based robust adaptive fuzzy tracking control in robot arms.
Proceedings of the 8th International Conference on Control, 2004

Contemporary integrated manufacturing system based on ERP/MES/PCS in ore dressing.
Proceedings of the 8th International Conference on Control, 2004

2003
Control of power-plant main steam pressure and power output based on fuzzy reasoning and auto-tuning.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

2000
Adaptive control of first-order systems with nonlinear parameterization.
IEEE Trans. Autom. Control., 2000

1999
Design of an adaptive control of bilinear system with guaranteed stability.
Int. J. Syst. Sci., 1999

Fuzzy adaptive control for a class of nonlinear systems.
Fuzzy Sets Syst., 1999

Properties of multivariable fuzzy controller under Gödel's implication.
Fuzzy Sets Syst., 1999

Direct adaptive control and robust analysis for unknown multivariable nonlinear systems with fuzzy logic systems.
Fuzzy Sets Syst., 1999

Fuzzy direct adaptive control for a class of nonlinear systems.
Fuzzy Sets Syst., 1999

1998
A new robust adaptive control algorithm for linear time-varying plants.
Int. J. Syst. Sci., 1998

Fuzzy indirect adaptive control for a class of decentralized nonlinear systems.
Int. J. Syst. Sci., 1998

A Unified Approach to Optimal State Estimation for Stochastic Singular Systems.
Autom., 1998

1997
A new method for optimal deconvolution.
IEEE Trans. Signal Process., 1997

Notes on multivariable fuzzy controller under Gödel's implication.
Fuzzy Sets Syst., 1997

Fuzzy Direct Adaptive Control for a Class of Decentralized Nonlinear Systems.
Cybern. Syst., 1997

Robust stabilization of mimo nonlinear time-varying mismatched uncertain systems.
Autom., 1997

1996
Robust identification for unknown nonlinear multivariable systems based on dynamic neural networks.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996


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