东北大学主页平台周平--Home-- Data-driven Robust M-LS-SVR Based NARX Modeling for Estimation and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking

周平 Professor

周平，男，湖南人，东北大学流程工业综合自动化国家重点实验室教授、博士生导师，入选国家级青年人才、辽宁省“百千万人才工程”百人层次。兼任国际自动控制联合会（IFAC）采矿、矿物和金属(MMM)技术委员会委员、IEEE计算智能学会神经网络委员会“随机神经网络与学习系统”工作组成员、亚洲控制学会数据驱动控制系统技术委员会。担任先进控制与工业智能山西省重点实验室、辽宁省海洋信息技术重点实验室等4个省级重点实验室学术...Detials

Recommended Ph.D.Supervisor Recommended MA Supervisor

Paper Publications Current position: Home > Scientific Research > Paper Publications

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

Release Time:2022-02-23 Hits:

Title of Paper: Data-driven Robust M-LS-SVR Based NARX Modeling for Estimation and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking
Journal: IEEE Transactions on Neural Networks and Learning Systems
Translation or Not: No

Prev One: Fault identification for quality monitoring of molten iron in blast furnace ironmaking based on KPLS with improved contribution rate

Next One: Grinding circuit control: A hierarchical approach using extended 2-DOF decoupling and model approximation