Intelligent optimal-setting control for grinding circuits of mineral processing process P Zhou, T Chai, H Wang IEEE Transactions on Automation Science and Engineering 6 (4), 730-743, 2009 | 167 | 2009 |
Data-driven robust M-LS-SVR-based NARX modeling for estimation and control of molten iron quality indices in blast furnace ironmaking P Zhou, D Guo, H Wang, T Chai IEEE transactions on neural networks and learning systems 29 (9), 4007-4021, 2017 | 114 | 2017 |
Data-driven nonlinear subspace modeling for prediction and control of molten iron quality indices in blast furnace ironmaking P Zhou, H Song, H Wang, T Chai IEEE Transactions on Control Systems Technology 25 (5), 1761-1774, 2016 | 113 | 2016 |
Data-driven monitoring and diagnosing of abnormal furnace conditions in blast furnace ironmaking: An integrated PCA-ICA method P Zhou, R Zhang, J Xie, J Liu, H Wang, T Chai IEEE Transactions on Industrial Electronics 68 (1), 622-631, 2020 | 107 | 2020 |
Intelligence-based supervisory control for optimal operation of a DCS-controlled grinding system P Zhou, T Chai, J Sun IEEE Transactions on Control Systems Technology 21 (1), 162-175, 2012 | 98 | 2012 |
Stochastic configuration networks with block increments for data modeling in process industries W Dai, D Li, P Zhou, T Chai Information Sciences 484, 367-386, 2019 | 77 | 2019 |
Data-driven robust RVFLNs modeling of a blast furnace iron-making process using Cauchy distribution weighted M-estimation P Zhou, Y Lv, H Wang, T Chai IEEE Transactions on Industrial Electronics 64 (9), 7141-7151, 2017 | 75 | 2017 |
Two-degree-of-freedom fractional order-PID controllers design for fractional order processes with dead-time M Li, P Zhou, Z Zhao, J Zhang ISA transactions 61, 147-154, 2016 | 73 | 2016 |
Data-driven soft-sensor modeling for product quality estimation using case-based reasoning and fuzzy-similarity rough sets P Zhou, SW Lu, T Chai IEEE Transactions on Automation Science and Engineering 11 (4), 992-1003, 2014 | 65 | 2014 |
Ekf-based enhanced performance controller design for nonlinear stochastic systems Y Zhou, Q Zhang, H Wang, P Zhou, T Chai IEEE Transactions on Automatic Control 63 (4), 1155-1162, 2017 | 63 | 2017 |
Multivariable dynamic modeling for molten iron quality using online sequential random vector functional-link networks with self-feedback connections P Zhou, M Yuan, H Wang, Z Wang, TY Chai Information Sciences 325, 237-255, 2015 | 54 | 2015 |
Multivariable disturbance observer based advanced feedback control design and its application to a grinding circuit P Zhou, W Dai, TY Chai IEEE Transactions on Control Systems Technology 22 (4), 1474-1485, 2013 | 53 | 2013 |
Data-driven predictive control of molten iron quality in blast furnace ironmaking using multi-output LS-SVR based inverse system identification P Zhou, D Guo, T Chai Neurocomputing 308, 101-110, 2018 | 51 | 2018 |
Intelligent monitoring and control of mill load for grinding processes P Zhou, TY Chai Chinese Control Theory & Applications 25 (66), 1095-1099, 2008 | 47 | 2008 |
Kalman filter-based data-driven robust model-free adaptive predictive control of a complicated industrial process P Zhou, S Zhang, L Wen, J Fu, T Chai, H Wang IEEE Transactions on Automation Science and Engineering 19 (2), 788-803, 2021 | 45 | 2021 |
Robust online sequential RVFLNs for data modeling of dynamic time-varying systems with application of an ironmaking blast furnace P Zhou, W Li, H Wang, M Li, T Chai IEEE transactions on cybernetics 50 (11), 4783-4795, 2019 | 44 | 2019 |
磨矿过程磨机负荷的智能监测与控制 周平, 柴天佑 控制理论与应用 25 (6), 1095-1098, 2008 | 41 | 2008 |
Source mapping and determining of soil contamination by heavy metals using statistical analysis, artificial neural network, and adaptive genetic algorithm P Zhou, Y Zhao, Z Zhao, T Chai Journal of Environmental Chemical Engineering 3 (4), 2569-2579, 2015 | 39 | 2015 |
DOB design for nonminimum-phase delay systems and its application in multivariable MPC control P Zhou, TY Chai, JH Zhao IEEE Transactions on Circuits and Systems II: Express Briefs 59 (8), 525-529, 2012 | 39 | 2012 |
Data‐driven recursive subspace identification based online modelling for prediction and control of molten iron quality in blast furnace ironmaking P Zhou, P Dai, H Song, T Chai IET Control Theory & Applications 11 (14), 2343-2351, 2017 | 37 | 2017 |