个人简介
高宪文,男,工学博士,教授,博士生导师,辽宁盘锦人,分别于1993年3月和1998年3月在东北大学获控制理论与控制工程学科硕士和博士学位。现任东北大学信息科学与工程学院自动化研究所教授。兼任全国控制工程 领域工程硕士专业学位教育协作组副组长。 主要研究方向为复杂工业过程建模、控制与优化、网络控制系统理论及应用、智能控制理论及应用。主编出版专著1部,在中国科学、自动化学报、物理学报、电子学报、控制l理i论及应用、控制与决策、石油科学、化工学报、Applied Mathematics Letters、Circuits Systems Singal-Processings、 Solar Energy、Journal of Process Control等国内外学术期刊和会议上发表学术论文100余篇,被SCI、ISTP、EI三大检索系统收录80多篇;获国家科技进步二等奖1项、获省部级科学技术进步一等奖3项、二等奖2项、三等奖2项;获国家发明专利5项,软件著作权1项。作为负责人或主要参加者承担863课题、国家自然科学基金等纵向课题10多项;作为负责人承担辽河油田、中冶焦耐、鞍钢矿业集团公司等国有大型企业科技攻关科研课题20多项。
研究领域
复杂工业过程建模、控制与优化、网络控制系统理论及应用、智能控制理论及应用
近期论文
查看导师新发文章
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1.Data-Driven Robust Output Tracking Control for Gas Collector Pressure System of Coke Ovens,IEEE Transactions on Industrial Electronics, 2017, 64(5), 4187 - 4198.
2.Sucker Rod Pump Working State Diagnosis Using Motor Data and Hidden Conditional Random Fields. IEEE Transactions on Industrial Electronics, 已录用.
3.Supervised dictionary-based transfer subspace learning and applications for fault diagnosis of sucker rod pumping systems, NEUROCOMPUTING, 2019, 338, 293-306.
4.Diagnosis of Sucker Rod Pump based on generating dynamometer cards. Journal of Process Control, 77, 2019, 76-88.
5.Fault detection for sucker rod pump based on motor power. Control Engineering Practice, 86, 2019, 37-47.
6.Sucker Rod Pumping Diagnosis Using Valve Working Position and Parameter Optimal Continuous Hidden Markov Model. Journal of Process Control, 59, 2017, 1-12.
7.Reduced order unknown input observer based distributed fault detection for multi-agent systems, Journal of the Franklin Institute, 2017, 354, 1464-1483.
8.Disturbance-observer-based control for semi-Markovian jump systems with generally uncertain transition rate and saturation nonlinearity, Applied Mathematics and Computation, 2019, 362, 已录用.
9.Observer-based sliding mode control for switched positive nonlinear systems with asynchronous switching, Nonlinear Dynamics, 2018, 93(4), 2433-2444
10.Fault Detection Strategy based on Weighted Distance of k Nearest Neighbors for Semiconductor Manufacturing Processes, IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTU- RING, 2019, 32(1), 75-81.
会议论文
1.Diagnosis for Sucker Rod Pumps Using Bayesian Networks and Dynamometer Card, Prognostics and System Health Management Conference (PHM-Qingdao), 2019
2.Practical Parameter Estimator forDynamometer Card of Rod Pumping Systems by Measuring Terminal Data of Drive Motor, 31th Chinese Control andDecision Conference(CCDC), Nanchang, 2019.
3.Self-adaptive chaotic local search particle swarm optimization for propylene explosion region parameter identification, 31th Chinese Control and Decision Conference(CCDC), Nanchang, 2019.
4.Reagent dosage intelligent optimal setting for iron ore flotation process based on CBR, 31th Chinese Control andDecision Conference(CCDC), Nanchang, 2019.
5.Asynchronous control of Markov jump linear systems with incomplete transition descriptions, 31th Chinese Control andDecision Conference(CCDC), Nanchang, 2019..
6.Research on data driven modeling method of grinding process based on RBF neural network, 31th Chinese Control andDecision Conference(CCDC), Nanchang, 2019.
7.The Research of Sintering Ore Blending Based on Profit Maximization, 31th Chinese Control andDecision Conference(CCDC), Nanchang, 2019.
8.Disturbance-observer-based control for Markovian jump systems with saturation nonlinearity, 31th Chinese Control andDecision Conference(CCDC), Nanchang, 2019.
9.Fault detection for high-order multi-agent systems with disturbances, The 27th Chinese Control and Decision Conference (CCDC), 2015.
10.Analysis of current situation and existing problems in greenhouse environment control,Proceeding of the 11th World Congress on Intelligent Control and Automation,2014.