P. Zhou

发表

Two-degree-of-freedom fractional order-PID controllers design for fractional order processes with dead-time.

Ping Zhou, Mingjie Li, Mingjie Li, 2016, ISA transactions.

Variance-constrained control for uncertain stochastic systems via disturbance observers

P. Zhou, Yunlong Liu, Mingzhi Liu, 2017, 2017 36th Chinese Control Conference (CCC).

Model approximation of multiple delay transfer function models using multiple-point step response fitting

Tianyou Chai, Bo Xiang, Ping Zhou, 2012 .

Fast short circuit measurement of DC motor commutating segment for electric forklift

Bo Xiang, Yang Xiang, Ping Zhou, 2012, Proceedings of the 31st Chinese Control Conference.

Data-Driven Modeling for PDF Shaping of Fiber Length Distribution in Refining Process

Ping Zhou, Mingjie Li, Mingjie Li, 2018, 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).

Improved model-free adaptive predictive control method for direct data-driven control of a wastewater treatment process with high performance

T. Chai, Yongfang Xie, P. Zhou, 2022, Journal of Process Control.

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

Ping Zhou, Jin Xie, P. Zhou, 2020, Neurocomputing.

Nonlinear Multiobjective MPC-Based Optimal Operation of a High Consistency Refining System in Papermaking

Hong Wang, Tianyou Chai, Ping Zhou, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Heterogeneous data-driven measurement method for FeO content of sinter based on deep learning and tensor decomposition

P. Zhou, Chunhui Zhao, Benhua Gao, 2023, Control Engineering Practice.

Soft Sensors for Pulp Freeness and Outlet Consistency Estimation in the Alkaline Peroxide Mechanical Pulping (APMP) High-Consistency Refining Process

Jigeng Li, Huanbin Liu, Xiangyu Zhang, 2016 .

Hybrid control approach for loading process of coal mine train

Ping Zhou, Bingwen Wang, Xuedong Liu, 2009, 2009 Chinese Control and Decision Conference.

Survey on higher-level advanced control for grinding circuits operation

Tianyou Chai, Meng Yuan, Ping Zhou, 2016 .

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

Tianyou Chai, Ping Zhou, Wei Dai, 2014, IEEE Transactions on Control Systems Technology.

Improved Disturbance Observer (DOB) Based Advanced Feedback Control for Optimal Operation of a Mineral Grinding Process

Tianyou Chai, Ping Zhou, Bo Xiang, 2012 .

DOB Design for Nonminimum-Phase Delay Systems and Its Application in Multivariable MPC Control

Tianyou Chai, Ping Zhou, Jin-Hui Zhao, 2012, IEEE Transactions on Circuits and Systems II: Express Briefs.

Improved disturbance observer design and its application

Wei Dai, Ping Zhou, Tian-You Chai, 2012, 2012 24th Chinese Control and Decision Conference (CCDC).

Multiobjective bio-inspired algorithm based on membrane computing

Ning Wang, Ping Zhou, Jin-Hui Zhao, 2012, 2012 International Conference on Computer Science and Information Processing (CSIP).

Dynamic performance enhancement for nonlinear stochastic systems using RBF driven nonlinear compensation with extended Kalman filter

Yuyang Zhou, Hong Wang, Tianyou Chai, 2020, Autom..

Robust neural networks with random weights based on generalized M-estimation and PLS for imperfect industrial data modeling

Tianyou Chai, Ping Zhou, Hong Wang, 2020 .

Stochastic configuration networks with block increments for data modeling in process industries

Tianyou Chai, Depeng Li, Ping Zhou, 2019, Inf. Sci..

Multivariate Molten Iron Quality Modeling Based on Improved Incremental Random Vector Functional-link Networks

Y. Jiang, P. Zhou, G. Yu, 2018 .

Hardware-in-the-loop simulation platform for supervisory control of mineral grinding process

Wei Dai, Ping Zhou, Tianyou Chai, 2016 .

Intelligent Optimal-Setting Control for Grinding Circuits of Mineral Processing Process

Tianyou Chai, Ping Zhou, Hong Wang, 2009, IEEE Transactions on Automation Science and Engineering.

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

Hong Wang, Tianyou Chai, Ping Zhou, 2017, IEEE Transactions on Control Systems Technology.

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

Jiping Liu, Tianyou Chai, Ping Zhou, 2021, IEEE Transactions on Industrial Electronics.

Multivariable Distrubance Observer Based Analytical Non-Interacting Control of Mineral Grinding Circuits

Ping Zhou, Tian You Chai, Yu Zhi Gao, 2011 .

P. Zhou, Ruiyao Zhang, Jiang Rong, 2021, Control Engineering Practice.

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

Tianyou Chai, Hong Wang, Ping Zhou, 2017, IEEE Transactions on Industrial Electronics.

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

Tianyou Chai, Jing Sun, Ping Zhou, 2013, IEEE Transactions on Control Systems Technology.

Data-Driven Robust M-LS-SVR-Based NARX Modeling for Estimation and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking

Hong Wang, Tianyou Chai, Ping Zhou, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Compact Incremental Random Weight Network for Estimating the Underground Airflow Quantity

Ping Zhou, Wei Dai, Qianjin Wang, 2021, IEEE Transactions on Industrial Informatics.

A simple method for L2 approximation of unstable and nonminimum-phase systems

T. Chai, P. Zhou, Yanlin Wu, 2010, 2010 Chinese Control and Decision Conference.

Model approximation of multiple delay transfer function models using multiple-point step response fitting

T. Chai, Jun Fu, P. Zhou, 2012, International Journal of Control, Automation and Systems.

Frequency-domain weighted RLS model reduction for complex SISO linear system

Hong Wang, Tianyou Chai, Chun-Yi Su, 2009, 2009 American Control Conference.

Fast just-in-time-learning recursive multi-output LSSVR for quality prediction and control of multivariable dynamic systems

Tianyou Chai, Ping Zhou, Weiqi Chen, 2021, Eng. Appl. Artif. Intell..

Parametric design-based multi-objective optimisation for high-pressure turbine disc

Guoqi Feng, Dongliang Cui, Ping Zhou, 2017, Int. J. Prod. Res..

Kalman Filter-Based Data-Driven Robust Model-Free Adaptive Predictive Control of a Complicated Industrial Process

Hong Wang, Tianyou Chai, Jun Fu, 2021, IEEE Transactions on Automation Science and Engineering.

Multiobjective Operation Optimization of Wastewater Treatment Process Based on Reinforcement Self-Learning and Knowledge Guidance.

T. Chai, P. Zhou, Xuan Wang, 2022, IEEE Transactions on Cybernetics.

Improved Incremental RVFL With Compact Structure and Its Application in Quality Prediction of Blast Furnace

Xuewu Dai, Ping Zhou, Chaoyao Wen, 2021, IEEE Transactions on Industrial Informatics.

Multi-model based PSO method for burden distribution matrix optimization with expected burden distribution output behaviors

Yong Zhang, Ping Zhou, Guimei Cui, 2019, IEEE/CAA Journal of Automatica Sinica.

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

Tianyou Chai, Ping Zhou, Dongwei Guo, 2018, Neurocomputing.

Robust Online Sequential RVFLNs for Data Modeling of Dynamic Time-Varying Systems With Application of an Ironmaking Blast Furnace

Tianyou Chai, Hong Wang, Ping Zhou, 2020, IEEE Transactions on Cybernetics.

Data modeling for quality prediction using improved orthogonal incremental random vector functional-link networks

Ping Zhou, Tianyou Chai, Yue Jiang, 2019, Neurocomputing.

Model Free Adaptive Predictive Control of Multivariate Molten Iron Quality in Blast Furnace Ironmaking

Hong Wang, Tianyou Chai, Ping Zhou, 2018, 2018 IEEE Conference on Decision and Control (CDC).

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

Tianyou Chai, Yongjian Wu, Chenyu Wang, 2018, Neurocomputing.

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

Tianyou Chai, Zhuo Wang, Hong Wang, 2015, Inf. Sci..

Intelligent multivariable modeling of blast furnace molten iron quality based on dynamic AGA-ANN and PCA

Tianyou Chai, Meng Yuan, Hong Wang, 2015 .

Data-Driven Dynamic Modeling for Prediction of Molten Iron Silicon Content Using ELM with Self-Feedback

Hong Wang, Tianyou Chai, Ping Zhou, 2015 .

Multivariable Dynamic Modeling for Molten Iron Quality Using Incremental Random Vector Functional-link Networks

Tianyou Chai, Meng Yuan, Li Zhang, 2016 .

Intelligent dynamic modeling for online estimation of burning zone temperature in cement rotary kiln

Meng Yuan, Ping Zhou, P. Zhou, 2014, Proceeding of the 11th World Congress on Intelligent Control and Automation.

Identification of Abnormal Conditions for Fused Magnesium Melting Process Based on Deep Learning and Multisource Information Fusion

Tianyou Chai, Ping Zhou, Benhua Gao, 2022, IEEE Transactions on Industrial Electronics.

Data-driven recursive subspace identification based online modelling for prediction and control of molten iron quality in blast furnace ironmaking

Tianyou Chai, Ping Zhou, Dai Peng, 2017 .

Distributed Robust Event-Triggered Control Strategy for Multiple High-Speed Trains With Communication Delays and Input Constraints

Tao Yang, Hui Zhao, Xuewu Dai, 2020, IEEE Transactions on Control of Network Systems.

Modeling and Simulation of Whole Ball Mill Grinding Plant for Integrated Control

Tianyou Chai, Ping Zhou, Shaowen Lu, 2014, IEEE Transactions on Automation Science and Engineering.

Data-Driven Predictive Probability Density Function Control of Fiber Length Stochastic Distribution Shaping in Refining Process

Hong Wang, Ping Zhou, Mingjie Li, 2020, IEEE Transactions on Automation Science and Engineering.

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

Tianyou Chai, Hong Wang, Ping Zhou, 2017, Neurocomputing.

EKF-Based Enhanced Performance Controller Design for Nonlinear Stochastic Systems

Hong Wang, Tianyou Chai, Qichun Zhang, 2018, IEEE Transactions on Automatic Control.

Research on case retention strategy for industrial case-based reasoning (CBR) system: A practical case study

Ping Zhou, Jin-Hui Zhao, Wei-Da Yin, 2012, 2012 International Conference on Computer Science and Information Processing (CSIP).