Ping Zhou

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 40

Top Topics

Predictive Control

Quality Prediction

Top Venues

IEEE Trans. Ind. Electron.

IEEE Trans Autom. Sci. Eng.

IEEE Trans. Ind. Informatics

Publications

Yu Zhang, Ping Zhou, Enjie Ma
Anomaly Detection of Industrial Smelting Furnace Incorporated With Accelerated Sampling Denoising Diffusion Probability Model and Conv-Transformer. IEEE Trans. Instrum. Meas. 73 (2024)
Mingjie Li, Ping Zhou, Hong Wang
Objective PDF-Shaping Based Stochastic Optimization With Probabilistic Constraints and Its Application. IEEE Trans. Ind. Electron. 71 (3) (2024)
Ping Zhou, Shuai Zhang, Tianyou Chai
Adaptive Constraint Penalty-Based Multiobjective Operation Optimization of an Industrial Dynamic System With Complex Multiconstraint. IEEE Trans. Cybern. 54 (8) (2024)
Chaoyao Wen, Ping Zhou, Wei Dai, Liang Dong, Tianyou Chai
Online Sequential Sparse Robust Neural Networks With Random Weights for Imperfect Industrial Streaming Data Modeling. IEEE Trans Autom. Sci. Eng. 21 (2) (2024)
Yue Liu, Ping Zhou, Xiaoyang Sun, Tianyou Chai
Optimal Tracking Control of Blast Furnace Molten Iron Quality Based on Krotov's Method and Nonlinear Subspace Identification. IEEE Trans. Ind. Electron. 71 (8) (2024)
Ping Zhou, Xuewu Dai, Kyriakos G. Vamvoudakis, Jan Faigl, Hong Wang
Guest Editorial Special Issue on Learning From Imperfect Data for Industrial Automation. IEEE Trans Autom. Sci. Eng. 21 (2) (2024)
Ping Zhou, Xiaoyang Sun, Tianyou Chai
Enhanced NMPC for Stochastic Dynamic Systems Driven by Control Error Compensation With Entropy Optimization. IEEE Trans. Control. Syst. Technol. 31 (5) (2023)
Yong Zhang, Ping Zhou, Donghao Lv, Sen Zhang, Guimei Cui, Hong Wang
Inverse Calculation of Burden Distribution Matrix Using B-Spline Model Based PDF Control in Blast Furnace Burden Charging Process. IEEE Trans. Ind. Informatics 19 (1) (2023)
Ruiyao Zhang, Ping Zhou, Junfei Qiao
Anomaly Detection of Nonstationary Long-Memory Processes Based on Fractional Cointegration Vector Autoregression. IEEE Trans. Reliab. 72 (4) (2023)
Ping Zhou, Xuan Wang, Tianyou Chai
Multiobjective Operation Optimization of Wastewater Treatment Process Based on Reinforcement Self-Learning and Knowledge Guidance. IEEE Trans. Cybern. 53 (11) (2023)
Ping Zhou, Hongpeng Li, Tianyou Chai
SPEA2 based on grid density search and elite guidance for multi-objective operation optimization of wastewater treatment process. Appl. Soft Comput. 144 (2023)
Jing Nan, Wei Dai, Guan Yuan, Ping Zhou
An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application. CoRR (2023)
Qianjin Wang, Wei Dai, Ping Lin, Ping Zhou
Compact Incremental Random Weight Network for Estimating the Underground Airflow Quantity. IEEE Trans. Ind. Informatics 18 (1) (2022)
Ping Zhou, Benhua Gao, Shu Wang, Tianyou Chai
Identification of Abnormal Conditions for Fused Magnesium Melting Process Based on Deep Learning and Multisource Information Fusion. IEEE Trans. Ind. Electron. 69 (3) (2022)
Ping Zhou, Shuai Zhang, Liang Wen, Jun Fu, Tianyou Chai, Hong Wang
Kalman Filter-Based Data-Driven Robust Model-Free Adaptive Predictive Control of a Complicated Industrial Process. IEEE Trans Autom. Sci. Eng. 19 (2) (2022)
Wei Dai, Yanshuang Ao, Linna Zhou, Ping Zhou, Xuesong Wang
Incremental learning paradigm with privileged information for random vector functional-link networks: IRVFL+. Neural Comput. Appl. 34 (9) (2022)
Ping Zhou, Yue Jiang, Chaoyao Wen, Xuewu Dai
Improved Incremental RVFL With Compact Structure and Its Application in Quality Prediction of Blast Furnace. IEEE Trans. Ind. Informatics 17 (12) (2021)
Ping Zhou, Lefang Chen, Xuewu Dai, Baoxu Li, Tianyou Chai
Intelligent Prediction of Train Delay Changes and Propagation Using RVFLNs With Improved Transfer Learning and Ensemble Learning. IEEE Trans. Intell. Transp. Syst. 22 (12) (2021)
Ping Zhou, Ruiyao Zhang, Jin Xie, Jiping Liu, Hong Wang, Tianyou Chai
Data-Driven Monitoring and Diagnosing of Abnormal Furnace Conditions in Blast Furnace Ironmaking: An Integrated PCA-ICA Method. IEEE Trans. Ind. Electron. 68 (1) (2021)
Mingjie Li, Ping Zhou, Liangyong Wang, Ye Yuan
Data-Driven Multiobjective Predictive Optimal Control of Refining Process With Non-Gaussian Stochastic Distribution Dynamics. IEEE Trans. Ind. Informatics 17 (11) (2021)
Ping Zhou, Weiqi Chen, Chengming Yi, Zhaohui Jiang, Tao Yang, Tianyou Chai
Fast just-in-time-learning recursive multi-output LSSVR for quality prediction and control of multivariable dynamic systems. Eng. Appl. Artif. Intell. 100 (2021)
Mingjie Li, Ping Zhou, Hong Wang, Tianyou Chai
Nonlinear Multiobjective MPC-Based Optimal Operation of a High Consistency Refining System in Papermaking. IEEE Trans. Syst. Man Cybern. Syst. 50 (3) (2020)
Hui Zhao, Xuewu Dai, Ping Zhou, Tao Yang
Distributed Robust Event-Triggered Control Strategy for Multiple High-Speed Trains With Communication Delays and Input Constraints. IEEE Trans. Control. Netw. Syst. 7 (3) (2020)
Yuyang Zhou, Aiping Wang, Ping Zhou, Hong Wang, Tianyou Chai
Dynamic performance enhancement for nonlinear stochastic systems using RBF driven nonlinear compensation with extended Kalman filter. Autom. 112 (2020)
Ping Zhou, Wenpeng Li, Hong Wang, Mingjie Li, Tianyou Chai
Robust Online Sequential RVFLNs for Data Modeling of Dynamic Time-Varying Systems With Application of an Ironmaking Blast Furnace. IEEE Trans. Cybern. 50 (11) (2020)
Ping Zhou, Shuai Zhang, Peng Dai
Recursive Learning-Based Bilinear Subspace Identification for Online Modeling and Predictive Control of a Complicated Industrial Process. IEEE Access 8 (2020)
Jin Xie, Ping Zhou
Robust stochastic configuration network multi-output modeling of molten iron quality in blast furnace ironmaking. Neurocomputing 387 (2020)
Mingjie Li, Ping Zhou, Yunlong Liu, Hong Wang
Data-Driven Predictive Probability Density Function Control of Fiber Length Stochastic Distribution Shaping in Refining Process. IEEE Trans Autom. Sci. Eng. 17 (2) (2020)
Ping Zhou, Yue Jiang, Chaoyao Wen, Tianyou Chai
Data modeling for quality prediction using improved orthogonal incremental random vector functional-link networks. Neurocomputing 365 (2019)
Wei Dai, Depeng Li, Ping Zhou, Tianyou Chai
Stochastic configuration networks with block increments for data modeling in process industries. Inf. Sci. 484 (2019)
Mingjie Li, Ping Zhou, Hong Wang, Tianyou Chai
Geometric Analysis Based Double Closed-Loop Iterative Learning Control of Output PDF Shaping of Fiber Length Distribution in Refining Process. IEEE Trans. Ind. Electron. 66 (9) (2019)
Yuyang Zhou, Qichun Zhang, Hong Wang, Ping Zhou, Tianyou Chai
EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems. IEEE Trans. Autom. Control. 63 (4) (2018)
Liang Wen, Ping Zhou, Hong Wang, Tianyou Chai
Model Free Adaptive Predictive Control of Multivariate Molten Iron Quality in Blast Furnace Ironmaking. CDC (2018)
Ping Zhou, Chenyu Wang, Mingjie Li, Hong Wang, Yongjian Wu, Tianyou Chai
Modeling error PDF optimization based wavelet neural network modeling of dynamic system and its application in blast furnace ironmaking. Neurocomputing 285 (2018)
Ping Zhou, Dongwei Guo, Tianyou Chai
Data-driven predictive control of molten iron quality in blast furnace ironmaking using multi-output LS-SVR based inverse system identification. Neurocomputing 308 (2018)
Ping Zhou, Dongwei Guo, Hong Wang, Tianyou Chai
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. 29 (9) (2018)
Dongliang Cui, Guoqi Feng, Ping Zhou, Yajun Zhang
Parametric design-based multi-objective optimisation for high-pressure turbine disc. Int. J. Prod. Res. 55 (17) (2017)
Ping Zhou, Mingjie Li, Dongwei Guo, Hong Wang, Tianyou Chai
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 238 (2017)
Ping Zhou, Heda Song, Hong Wang, Tianyou Chai
Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking. IEEE Trans. Control. Syst. Technol. 25 (5) (2017)
Ping Zhou, Youbin Lv, Hong Wang, Tianyou Chai
Data-Driven Robust RVFLNs Modeling of a Blast Furnace Iron-Making Process Using Cauchy Distribution Weighted M-Estimation. IEEE Trans. Ind. Electron. 64 (9) (2017)
Ping Zhou, Meng Yuan, Hong Wang, Zhuo Wang, Tianyou Chai
Multivariable dynamic modeling for molten iron quality using online sequential random vector functional-link networks with self-feedback connections. Inf. Sci. 325 (2015)
Ping Zhou, Shaowen Lu, Tianyou Chai
Data-Driven Soft-Sensor Modeling for Product Quality Estimation Using Case-Based Reasoning and Fuzzy-Similarity Rough Sets. IEEE Trans Autom. Sci. Eng. 11 (4) (2014)
Ping Zhou, Wei Dai, Tianyou Chai
Multivariable Disturbance Observer Based Advanced Feedback Control Design and Its Application to a Grinding Circuit. IEEE Trans. Control. Syst. Technol. 22 (4) (2014)
Shaowen Lu, Ping Zhou, Tianyou Chai, Wei Dai
Modeling and Simulation of Whole Ball Mill Grinding Plant for Integrated Control. IEEE Trans Autom. Sci. Eng. 11 (4) (2014)
Ping Zhou, Tianyou Chai, Jing Sun
Intelligence-Based Supervisory Control for Optimal Operation of a DCS-Controlled Grinding System. IEEE Trans. Control. Syst. Technol. 21 (1) (2013)
Ping Zhou, Tianyou Chai, Jin-Hui Zhao
DOB Design for Nonminimum-Phase Delay Systems and Its Application in Multivariable MPC Control. IEEE Trans. Circuits Syst. II Express Briefs (8) (2012)
Ping Zhou, Tianyou Chai, Qiang Liu, Hong Wang, Chun-Yi Su
Frequency-domain weighted RLS model reduction for complex SISO linear system. ACC (2009)
Ping Zhou, Tianyou Chai, Hong Wang
Intelligent Optimal-Setting Control for Grinding Circuits of Mineral Processing Process. IEEE Trans Autom. Sci. Eng. 6 (4) (2009)
Ping Zhou, Tianyou Chai, Hong Wang, Chun-Yi Su
Multivariable decoupling internal model control for grinding circuit. ACC (2008)
Ping Zhou, Jinliang Ding, Tianyou Chai, Hong Wang, Chun-Yi Su
An intelligent approach for supervisory control of grinding product particle size. CDC (2007)
Jinliang Ding, Ping Zhou, Changxin Liu, Tianyou Chai
Hybrid Intelligent System for Supervisory Control of Mineral Grinding Process. ISDA (1) (2006)