Ping Zhou

Orcid: 0000-0002-9398-172X

Affiliations:
  • Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China (PhD 2013)


According to our database1, Ping Zhou authored at least 51 papers between 2006 and 2024.

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Bibliography

2024
Optimal Tracking Control of Blast Furnace Molten Iron Quality Based on Krotov's Method and Nonlinear Subspace Identification.
IEEE Trans. Ind. Electron., August, 2024

Adaptive Constraint Penalty-Based Multiobjective Operation Optimization of an Industrial Dynamic System With Complex Multiconstraint.
IEEE Trans. Cybern., August, 2024

Guest Editorial Special Issue on Learning From Imperfect Data for Industrial Automation.
IEEE Trans Autom. Sci. Eng., April, 2024

Online Sequential Sparse Robust Neural Networks With Random Weights for Imperfect Industrial Streaming Data Modeling.
IEEE Trans Autom. Sci. Eng., April, 2024

Objective PDF-Shaping Based Stochastic Optimization With Probabilistic Constraints and Its Application.
IEEE Trans. Ind. Electron., March, 2024

Anomaly Detection of Industrial Smelting Furnace Incorporated With Accelerated Sampling Denoising Diffusion Probability Model and Conv-Transformer.
IEEE Trans. Instrum. Meas., 2024

2023
Anomaly Detection of Nonstationary Long-Memory Processes Based on Fractional Cointegration Vector Autoregression.
IEEE Trans. Reliab., December, 2023

Multiobjective Operation Optimization of Wastewater Treatment Process Based on Reinforcement Self-Learning and Knowledge Guidance.
IEEE Trans. Cybern., November, 2023

Enhanced NMPC for Stochastic Dynamic Systems Driven by Control Error Compensation With Entropy Optimization.
IEEE Trans. Control. Syst. Technol., September, 2023

SPEA2 based on grid density search and elite guidance for multi-objective operation optimization of wastewater treatment process.
Appl. Soft Comput., September, 2023

Inverse Calculation of Burden Distribution Matrix Using B-Spline Model Based PDF Control in Blast Furnace Burden Charging Process.
IEEE Trans. Ind. Informatics, 2023

An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application.
CoRR, 2023

2022
Compact Incremental Random Weight Network for Estimating the Underground Airflow Quantity.
IEEE Trans. Ind. Informatics, 2022

Identification of Abnormal Conditions for Fused Magnesium Melting Process Based on Deep Learning and Multisource Information Fusion.
IEEE Trans. Ind. Electron., 2022

Kalman Filter-Based Data-Driven Robust Model-Free Adaptive Predictive Control of a Complicated Industrial Process.
IEEE Trans Autom. Sci. Eng., 2022

Incremental learning paradigm with privileged information for random vector functional-link networks: IRVFL+.
Neural Comput. Appl., 2022

2021
Intelligent Prediction of Train Delay Changes and Propagation Using RVFLNs With Improved Transfer Learning and Ensemble Learning.
IEEE Trans. Intell. Transp. Syst., 2021

Data-Driven Multiobjective Predictive Optimal Control of Refining Process With Non-Gaussian Stochastic Distribution Dynamics.
IEEE Trans. Ind. Informatics, 2021

Improved Incremental RVFL With Compact Structure and Its Application in Quality Prediction of Blast Furnace.
IEEE Trans. Ind. Informatics, 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

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

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

Distributed Robust Event-Triggered Control Strategy for Multiple High-Speed Trains With Communication Delays and Input Constraints.
IEEE Trans. Control. Netw. Syst., 2020

Data-Driven Predictive Probability Density Function Control of Fiber Length Stochastic Distribution Shaping in Refining Process.
IEEE Trans Autom. Sci. Eng., 2020

Robust stochastic configuration network multi-output modeling of molten iron quality in blast furnace ironmaking.
Neurocomputing, 2020

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

Recursive Learning-Based Bilinear Subspace Identification for Online Modeling and Predictive Control of a Complicated Industrial Process.
IEEE Access, 2020

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

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

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

EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems.
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

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

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

Parametric design-based multi-objective optimisation for high-pressure turbine disc.
Int. J. Prod. Res., 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

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

2014
Multivariable Disturbance Observer Based Advanced Feedback Control Design and Its Application to a Grinding Circuit.
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

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

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

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

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

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

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

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


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