刘文韬副教授

一、个人简介

基本信息：刘文韬、男、硕士生导师、青岛科技大学五层次引进人才，青岛科技大学崂山学者，特聘副教授、电工教研室、联系方式（wtliu12@qust.edu.cn）

研究方向:复杂工业过程模拟与运行优化

教育背景： 江南大学、控制科学与工程、博士

       加拿大阿尔伯塔大学、联合培养博士

二、教学工作

主讲课程：本科生专业核心课《电工电子学B》《电工电子学C》

三、科研工作

科研项目：

[1] 主持山东省自然科学基金青年项目

[2] 主持青岛市自然科学基金青年项目

[3] 参与国家自然科技基金重点支持项目

[4] 参与山东省自然科学基金面上项目

论文：

[1] Liu W T, Li S Y. Monitoring large-scale industrial systems for wastewater treatment processes with process noise using data-driven NARX approach. Control Engineering Practice, 2025, 161: 106321.

[2] Liu W T, Sun H Q, Sun W X, Xiong W L. Maximum likelihood-based neural network for monitoring wastewater treatment processes. IEEE Transactions on Instrumentation and Measurement, 2025, doi:10.1109/TIM.2025.3563003.

[3] Liu W T, He S D, Mou J P, Xue T, Chen H T, Xiong W L. Digital twins-based process monitoring for wastewater treatment processes. Reliability Engineering & System Safety, 2023, 238: 109416.

[4] Liu W T, Xiong W L, Chen H T. Dynamic multi-objective optimization and multi-units linear active disturbance rejection control for wastewater treatment processes. Control Engineering Practice, 2023, 139: 105650.

[5] Liu W T, Zhao T. An active disturbance rejection control for hysteresis compensation based on neural networks adaptive control. ISA Transactions, 2021, 109: 81-88.

[6] Liu W T, Xiong W L. Auxiliary model-based continuous mixed p-norm algorithm for output-error moving average systems using the multi-innovation optimization. International Journal of Control, Automation and Systems, 2024, 22(1): 217-227.

[7] Liu W T, Xiong W L. Generalized continuous mixed p-norm based sliding window algorithm for a bilinear system with impulsive noise. International Journal of Robust and Nonlinear Control, 2022, 32(13): 7663-7681.

[8] Liu W T, Xiong W L. Robust gradient estimation algorithm for a stochastic system with colored noise. International Journal of Control, Automation and Systems, 2023, 21(2): 553-562.

[9] Liu W T, Zhao T, Wu Z W, Huang W. Linear active disturbance rejection control for hysteresis compensation based on backpropagation neural networks adaptive control. Transactions of The Institute of Measurement and Control, 2020, 43(4): 915-924.

[10] Liu W T, Ma J X, Xiong W L. State estimation moving window gradient iterative algorithm for bilinear systems using the continuous mixed p-norm technique, CMES-Computer Modeling in Engineering & Sciences, 2023, 134(2): 873-892.

学术兼职：中国自动化学会预测控制与智能决策专委会委员, 山东省自动化学会青年委员会副秘书长

四、育人工作

研究生培养：指导/协助培养博士生2 / 硕士生7 名