- [1]A comprehensive hybrid first principles/machine learning modeling framework for complex industrial processes [J].Journal of Process Control, 2020, 86: 30-43.
- [2]A Robust Transfer Dictionary Learning Algorithm for Industrial Process Monitoring [J].Engineering, 2021, 7 (9) : 1262-1273.
- [3]A Cumulative Canonical Correlation Analysis-Based Sensor Precision Degradation Detection Method[J].IEEE Transactions on Industrial Electronics, 2019, 66(8): 6321-6330.
- [4]A novel asynchronous control for artificial delayed Markovian jump systems via output feedback sliding mode approach[J].IEEE Transactions on Systems, Man, and Cybernetics, 2019, 49(2): 364-374.
- [5]A New Data Reconciliation Strategy Based on Mutual Information for Industrial Processes[J].Industrial & Engineering Chemistry Research, 2018, 57(38): 12861–12870.
- [6]A data-driven adaptive multivariate steady state detection strategy for the evaporation process of the sodium aluminate solution[J].Journal of Process Control, 2018, 68: 145-159.
- [7]Passivity-based asynchronous sliding mode control for delayed singular Markovian jump systems[J].IEEE Transactions on Automatic Control, 2018, 63(8): 2715-2721.
- [8]Hardware-in-the-Loop Fault Injection for Traction Control System[J].IEEE J. Emerging and Selected Topics in Power Ele., 2018, 6(2): 696-706.
- [9]Exploiting correlation for confident sensing in fusion-based wireless sensor networks[J].IEEE Transactions on Industrial Electronics, 2018: 4962-4972.
- [10]Controllable-domain-based fuzzy rule extraction for copper removal process control[J].IEEE Transactions on Fuzzy Systems, 2018, 26(3): 1744-1756.
- [11]Dynamic multi-objective optimization arising in iron precipitation of zinc hydrometallurgy[J], 2017, 173: 134-148.
- [12]A fault-injection strategy for traction drive control systems[J].IEEE Transactions on Industrial Electronics, 2017 (64(7)) : 5719-5727.
- [13]Temperature uniformity control of large-scale vertical quench furnaces for aluminum alloy thermal treatment[J].IEEE Transactions on Control Systems Technology, 2016, 24(1): 24-39.
- [14]Evaluation strategy for the control of the copper removal process based on oxidation–reduction potential[J].Chemical Engineering Journal, 2016, 284: 294-304.
- [15]Additive requirement ratio prediction using trend distribution features for hydrometallurgical purification processes[J].Control Engineering Practice, 2016, 46: 10-25.
- [16]Optimal control of an industrial-scale evaporation process: Sodium aluminate solution[J].Control Engineering Practice, 2012, 20(6): 618-628.
- [17]Modeling and Optimal-setting Control of Blending Process in a Metallurgical Industry[J].Computers and Chemical Engineering, 2009, 33(7): 1289-1297.
- [18]A Two-stage Intelligent Optimization System for the Raw Slurry Preparing Process of Alumina Sintering Production[J].Engineering Applications ofArtificial Intelligence, 2009, 22: 786-795.
- [19]An Optimal Power-Dispatching System Using Neural Networks for the Electrochemical Process of Zinc Depending on Varying Prices of Electricity[J].IEEE Trans. on Neural Networks, 2002, 13(1): 229-236.
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