Ping Zhou

64 papers C 2Journal 59Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A mondrian conformal predictive system with improved decision trees for uncertainty quantification under heteroscedasticity.
Pattern Recognit.
Ruiyao Zhang, Ping Zhou
2025 J jnl
Data-Driven Virtual Setpoint P-Type Control With Prescribed Performance Function.
IEEE Control. Syst. Lett.
Guojie Li, Ping Zhou
2025 J jnl
Entropy optimization based linear compensation for performance enhancement of NMPC and its applications.
J. Frankl. Inst.
Xiaoyang Sun, Ping Zhou, Tianyou Chai
2025 J jnl
Improved two-archive evolutionary algorithm for constrained multi-objective optimization of WWTP based on intergenerational information guidance.
Evol. Intell.
Ping Zhou, Yuying Wang, Zihui Ou
2025 J jnl
Intelligent Working Conditions Recognition Method and Application Incorporating Semi-Supervised Learning With Multilevel Information Fusion.
IEEE Trans. Instrum. Meas.
Ping Zhou, Benyi Jiang, Yu Zhang, Tianyou Chai
2025 J jnl
Intelligent recognition of steel plate surface defect based on deep convolutional GAN.
Neural Comput. Appl.
Benyi Jiang, Ping Zhou, Xiaoyang Sun, Tianyou Chai
2025 J jnl
Ironmaking process modeling uncertainty quantification via conformal prediction based on random vector functional link networks.
Comput. Electr. Eng.
Ping Zhou, Chaoyao Wen, Peng Zhao, Mingjie Li
2025 J jnl
Neural Networks-Based Output PDF Shape Identification and Control of Singularly Perturbed Systems.
IEEE Trans Autom. Sci. Eng.
Xiaoyang Sun, Yujie Gu, Lanhao Wang, Wei Dai, Ping Zhou
2025 J jnl
Stacked semi-supervised autoencoder-regularized RVFLNs for reliable prediction of molten iron quality in blast furnace.
Neural Comput. Appl.
Ping Zhou, Peng Zhao, Zihui Ou, Tianyou Chai
2025 J jnl
Uncertainty Quantification Based on Conformal Prediction for Industrial Time Series With Distribution Shift.
IEEE Trans. Ind. Informatics
Ruiyao Zhang, Ping Zhou
2025 J jnl
Virtual Error-Based Data-Driven P-Type Adaptive Predictive Control and Its Applications.
IEEE Trans Autom. Sci. Eng.
Guojie Li, Ping Zhou, Yuyang Zhou, Tianyou Chai
2024 J jnl
Adaptive Constraint Penalty-Based Multiobjective Operation Optimization of an Industrial Dynamic System With Complex Multiconstraint.
IEEE Trans. Cybern.
Ping Zhou, Shuai Zhang, Tianyou Chai
2024 J jnl
An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application.
IEEE Trans. Ind. Informatics
Jing Nan, Wei Dai, Guan Yuan, Ping Zhou
2024 J jnl
Anomaly Detection of Industrial Smelting Furnace Incorporated With Accelerated Sampling Denoising Diffusion Probability Model and Conv-Transformer.
IEEE Trans. Instrum. Meas.
Yu Zhang, Ping Zhou, Enjie Ma
2024 J jnl
Guest Editorial Special Issue on Learning From Imperfect Data for Industrial Automation.
IEEE Trans Autom. Sci. Eng.
Ping Zhou, Xuewu Dai, Kyriakos G. Vamvoudakis, Jan Faigl, Hong Wang
2024 J jnl
Objective PDF-Shaping Based Stochastic Optimization With Probabilistic Constraints and Its Application.
IEEE Trans. Ind. Electron.
Mingjie Li, Ping Zhou, Hong Wang
2024 J jnl
Online Sequential Sparse Robust Neural Networks With Random Weights for Imperfect Industrial Streaming Data Modeling.
IEEE Trans Autom. Sci. Eng.
Chaoyao Wen, Ping Zhou, Wei Dai, Liang Dong, Tianyou Chai
2024 J jnl
Optimal Tracking Control of Blast Furnace Molten Iron Quality Based on Krotov's Method and Nonlinear Subspace Identification.
IEEE Trans. Ind. Electron.
Yue Liu, Ping Zhou, Xiaoyang Sun, Tianyou Chai
2023 J jnl
An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application.
CoRR
Jing Nan, Wei Dai, Guan Yuan, Ping Zhou
2023 J jnl
Anomaly Detection of Nonstationary Long-Memory Processes Based on Fractional Cointegration Vector Autoregression.
IEEE Trans. Reliab.
Ruiyao Zhang, Ping Zhou, Junfei Qiao
2023 J jnl
Enhanced NMPC for Stochastic Dynamic Systems Driven by Control Error Compensation With Entropy Optimization.
IEEE Trans. Control. Syst. Technol.
Ping Zhou, Xiaoyang Sun, Tianyou Chai
2023 J jnl
Inverse Calculation of Burden Distribution Matrix Using B-Spline Model Based PDF Control in Blast Furnace Burden Charging Process.
IEEE Trans. Ind. Informatics
Yong Zhang, Ping Zhou, Donghao Lv, Sen Zhang, Guimei Cui, Hong Wang
2023 J jnl
Multiobjective Operation Optimization of Wastewater Treatment Process Based on Reinforcement Self-Learning and Knowledge Guidance.
IEEE Trans. Cybern.
Ping Zhou, Xuan Wang, Tianyou Chai
2023 J jnl
SPEA2 based on grid density search and elite guidance for multi-objective operation optimization of wastewater treatment process.
Appl. Soft Comput.
Ping Zhou, Hongpeng Li, Tianyou Chai
2022 J jnl
Compact Incremental Random Weight Network for Estimating the Underground Airflow Quantity.
IEEE Trans. Ind. Informatics
Qianjin Wang, Wei Dai, Ping Lin, Ping Zhou
2022 J jnl
Identification of Abnormal Conditions for Fused Magnesium Melting Process Based on Deep Learning and Multisource Information Fusion.
IEEE Trans. Ind. Electron.
Ping Zhou, Benhua Gao, Shu Wang, Tianyou Chai
2022 J jnl
Incremental learning paradigm with privileged information for random vector functional-link networks: IRVFL+.
Neural Comput. Appl.
Wei Dai, Yanshuang Ao, Linna Zhou, Ping Zhou, Xuesong Wang
2022 J jnl
Kalman Filter-Based Data-Driven Robust Model-Free Adaptive Predictive Control of a Complicated Industrial Process.
IEEE Trans Autom. Sci. Eng.
Ping Zhou, Shuai Zhang, Liang Wen, Jun Fu, Tianyou Chai, Hong Wang
2021 J jnl
Data-Driven Monitoring and Diagnosing of Abnormal Furnace Conditions in Blast Furnace Ironmaking: An Integrated PCA-ICA Method.
IEEE Trans. Ind. Electron.
Ping Zhou, Ruiyao Zhang, Jin Xie, Jiping Liu, Hong Wang, Tianyou Chai
2021 J jnl
Data-Driven Multiobjective Predictive Optimal Control of Refining Process With Non-Gaussian Stochastic Distribution Dynamics.
IEEE Trans. Ind. Informatics
Mingjie Li, Ping Zhou, Liangyong Wang, Ye Yuan
2021 J jnl
Fast just-in-time-learning recursive multi-output LSSVR for quality prediction and control of multivariable dynamic systems.
Eng. Appl. Artif. Intell.
Ping Zhou, Weiqi Chen, Chengming Yi, Zhaohui Jiang, Tao Yang, Tianyou Chai
2021 J jnl
Improved Incremental RVFL With Compact Structure and Its Application in Quality Prediction of Blast Furnace.
IEEE Trans. Ind. Informatics
Ping Zhou, Yue Jiang, Chaoyao Wen, Xuewu Dai
2021 J jnl
Intelligent Prediction of Train Delay Changes and Propagation Using RVFLNs With Improved Transfer Learning and Ensemble Learning.
IEEE Trans. Intell. Transp. Syst.
Ping Zhou, Lefang Chen, Xuewu Dai, Baoxu Li, Tianyou Chai
2020 J jnl
Data-Driven Predictive Probability Density Function Control of Fiber Length Stochastic Distribution Shaping in Refining Process.
IEEE Trans Autom. Sci. Eng.
Mingjie Li, Ping Zhou, Yunlong Liu, Hong Wang
2020 J jnl
Distributed Robust Event-Triggered Control Strategy for Multiple High-Speed Trains With Communication Delays and Input Constraints.
IEEE Trans. Control. Netw. Syst.
Hui Zhao, Xuewu Dai, Ping Zhou, Tao Yang
2020 J jnl
Dynamic performance enhancement for nonlinear stochastic systems using RBF driven nonlinear compensation with extended Kalman filter.
Autom.
Yuyang Zhou, Aiping Wang, Ping Zhou, Hong Wang, Tianyou Chai
2020 J jnl
Nonlinear Multiobjective MPC-Based Optimal Operation of a High Consistency Refining System in Papermaking.
IEEE Trans. Syst. Man Cybern. Syst.
Mingjie Li, Ping Zhou, Hong Wang, Tianyou Chai
2020 J jnl
Recursive Learning-Based Bilinear Subspace Identification for Online Modeling and Predictive Control of a Complicated Industrial Process.
IEEE Access
Ping Zhou, Shuai Zhang, Peng Dai
2020 J jnl
Robust Online Sequential RVFLNs for Data Modeling of Dynamic Time-Varying Systems With Application of an Ironmaking Blast Furnace.
IEEE Trans. Cybern.
Ping Zhou, Wenpeng Li, Hong Wang, Mingjie Li, Tianyou Chai
2020 J jnl
Robust stochastic configuration network multi-output modeling of molten iron quality in blast furnace ironmaking.
Neurocomputing
Jin Xie, Ping Zhou
2019 J jnl
Data modeling for quality prediction using improved orthogonal incremental random vector functional-link networks.
Neurocomputing
Ping Zhou, Yue Jiang, Chaoyao Wen, Tianyou Chai
2019 J jnl
Geometric Analysis Based Double Closed-Loop Iterative Learning Control of Output PDF Shaping of Fiber Length Distribution in Refining Process.
IEEE Trans. Ind. Electron.
Mingjie Li, Ping Zhou, Hong Wang, Tianyou Chai
2019 J jnl
Multi-model based PSO method for burden distribution matrix optimization with expected burden distribution output behaviors.
IEEE CAA J. Autom. Sinica
Yong Zhang, Ping Zhou, Guimei Cui
2019 J jnl
Stochastic configuration networks with block increments for data modeling in process industries.
Inf. Sci.
Wei Dai, Depeng Li, Ping Zhou, Tianyou Chai
2018 J jnl
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.
Ping Zhou, Dongwei Guo, Hong Wang, Tianyou Chai
2018 J jnl
Data-driven predictive control of molten iron quality in blast furnace ironmaking using multi-output LS-SVR based inverse system identification.
Neurocomputing
Ping Zhou, Dongwei Guo, Tianyou Chai
2018 J jnl
EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems.
IEEE Trans. Autom. Control.
Yuyang Zhou, Qichun Zhang, Hong Wang, Ping Zhou, Tianyou Chai
2018 — conf
Model Free Adaptive Predictive Control of Multivariate Molten Iron Quality in Blast Furnace Ironmaking.
CDC
Liang Wen, Ping Zhou, Hong Wang, Tianyou Chai
2018 J jnl
Modeling error PDF optimization based wavelet neural network modeling of dynamic system and its application in blast furnace ironmaking.
Neurocomputing
Ping Zhou, Chenyu Wang, Mingjie Li, Hong Wang, Yongjian Wu, Tianyou Chai
2017 J jnl
Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking.
IEEE Trans. Control. Syst. Technol.
Ping Zhou, Heda Song, Hong Wang, Tianyou Chai
2017 J jnl
Data-Driven Robust RVFLNs Modeling of a Blast Furnace Iron-Making Process Using Cauchy Distribution Weighted M-Estimation.
IEEE Trans. Ind. Electron.
Ping Zhou, Youbin Lv, Hong Wang, Tianyou Chai
2017 J jnl
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
Ping Zhou, Mingjie Li, Dongwei Guo, Hong Wang, Tianyou Chai
2017 J jnl
Parametric design-based multi-objective optimisation for high-pressure turbine disc.
Int. J. Prod. Res.
Dongliang Cui, Guoqi Feng, Ping Zhou, Yajun Zhang
2015 J jnl
Multivariable dynamic modeling for molten iron quality using online sequential random vector functional-link networks with self-feedback connections.
Inf. Sci.
Ping Zhou, Meng Yuan, Hong Wang, Zhuo Wang, Tianyou Chai
2014 J jnl
Data-Driven Soft-Sensor Modeling for Product Quality Estimation Using Case-Based Reasoning and Fuzzy-Similarity Rough Sets.
IEEE Trans Autom. Sci. Eng.
Ping Zhou, Shaowen Lu, Tianyou Chai
2014 J jnl
Modeling and Simulation of Whole Ball Mill Grinding Plant for Integrated Control.
IEEE Trans Autom. Sci. Eng.
Shaowen Lu, Ping Zhou, Tianyou Chai, Wei Dai
2014 J jnl
Multivariable Disturbance Observer Based Advanced Feedback Control Design and Its Application to a Grinding Circuit.
IEEE Trans. Control. Syst. Technol.
Ping Zhou, Wei Dai, Tianyou Chai
2013 J jnl
Intelligence-Based Supervisory Control for Optimal Operation of a DCS-Controlled Grinding System.
IEEE Trans. Control. Syst. Technol.
Ping Zhou, Tianyou Chai, Jing Sun
2012 J jnl
DOB Design for Nonminimum-Phase Delay Systems and Its Application in Multivariable MPC Control.
IEEE Trans. Circuits Syst. II Express Briefs
Ping Zhou, Tianyou Chai, Jin-Hui Zhao
2009 C conf
Frequency-domain weighted RLS model reduction for complex SISO linear system.
ACC
Ping Zhou, Tianyou Chai, Qiang Liu, Hong Wang, Chun-Yi Su
2009 J jnl
Intelligent Optimal-Setting Control for Grinding Circuits of Mineral Processing Process.
IEEE Trans Autom. Sci. Eng.
Ping Zhou, Tianyou Chai, Hong Wang
2008 C conf
Multivariable decoupling internal model control for grinding circuit.
ACC
Ping Zhou, Tianyou Chai, Hong Wang, Chun-Yi Su
2007 — conf
An intelligent approach for supervisory control of grinding product particle size.
CDC
Ping Zhou, Jinliang Ding, Tianyou Chai, Hong Wang, Chun-Yi Su
2006 — conf
Hybrid Intelligent System for Supervisory Control of Mineral Grinding Process.
ISDA (1)
Jinliang Ding, Ping Zhou, Changxin Liu, Tianyou Chai