河海大学

方红庆

发布日期:2024-04-20 浏览次数:

导航 个人概况 科学研究 教学信息 社会职务 荣誉及奖励 招生信息,方红庆 职称: 副教授 部门: 信息学部、人工智能与自动化学院 学科: 控制科学与工程 教学部门: 信息学部、人工智能与自动化学院 电话: 邮件: fanghongqing@sohu.com 办公地址: 勤学楼5305 通讯地址: 江苏省南京市江宁区佛城西路8号 邮编: 211100 7044 访问 个人简介 中共党员,博士,副教授,硕士研究生导师,美国华盛顿州立大学(Washington State University, USA), 国家公派博士后(人工智能/机器学习方向),江苏省2010年度高校“青蓝工程”优秀青年骨干教师培养对象。目前主要从事:(1)水力机组控制及其过渡过程; (2) 智能家居环境中人类活动的学习、预测与辨识等方面的研究工作。已在国际、国内权威学术期刊及国际学术会议以第一作者身份发表论文30多篇, 其中Sci检索6篇(JCR 1区4篇,3区1篇;中科院JCR 1区1篇,2区3篇,4区1篇)。 个人资料 姓名: 方红庆 性别: 男 学位: 博士 出生年月: 1975-07 学历: 博士研究生 毕业院校: 河海大学 教育经历 1994.09-1998.07,河海大学,水利水电工动力工程,学士学位 2002.03-2005.12,河海大学,水利水电工程,博士学位 工作经历 1998.08-2000.06,山西省水利水电勘测设计研究院 2005.12-,河海大学电气工程学院 研究领域 [1] 智能家居环境中人类活动的学习与识别算法[2] 水力机组控制及其过渡过程[3] 非线性控制[4] 群智能优化算法 科研项目 论文 1、Recurrent Neural Network for Human Activity Recognition in Smart Home,Proceedings of 2013 Chinese Intelligent Automation Conference,01-JAN-13 2、Influence of time and length size feature selections for human activity sequences recognition,ISA Transactions,01-JAN-13 3、Recurrent neural network for human activity recognition in smart home,Lecture Notes in Electrical Engineering,01-JAN-13 4、Application of an improved PSO algorithm to optimal tuning of PID gains for water turbine governor,Energy Conversion and Management,01-JAN-11 5、Intelligent Optimal Tuning of Hydraulic Turbine Governor PID Gains Based on Nonlinear Model,IEEE计算机科学与服务系统国际会议论文集,01-JAN-11 6、Feature Selections for Human Activity Recognition in Smart Home Environments,International Journal of Innovative Computing, Information and Control,01-JAN-12 7、BP Neural Network for Human Activity Recognition in Smart Home,IEEE计算机科学与服务系统国际会议,01-JAN-12 8、An improved position prediction algorithm based on Active LeZi in Smart Home,IEEE计算机科学与服务系统国际会议,01-JAN-12 9、BP neural network for human activity recognition in smart home,Proceedings - 2012 International Conference on Computer Science and Service System CSSS 2012,01-JAN-12 10、基于线性与非线性模型的水轮机调速器PID参数优化比较,中国电机工程学报,01-JAN-10 11、Application of an enhanced PSO algorithm to optimal tuning of PID gains,2009 Chinese Control and Decision Conference,01-JAN-09 12、A novel PSO algorithm for global optimization of multi-dimensional function,2008中国控制与决策会议,01-JAN-08 13、Comparison of PSO algorithm and its variants to optimal parameters of PID controller,2008中国控制与决策会议,01-JAN-08 14、一种改进粒子群算法及其在水轮机控制器PID参数优化中的应用,南京理工大学学报(自然科学版),01-JAN-08 15、Basic Modeling and Simulation Tool for Analysis of Hydraulic Transients in Hydroelectric Power Plants,IEEE Transactions on Energy Conversion,01-JAN-08 16、非线性非最小相位系统伪线性复合控制,南京理工大学学报(自然科学版),01-JAN-05 17、Modeling and Simulation of Hydraulic Transients for Hydropower Plants,Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference,01-JAN-05 18、Optimal hydraulic turbogenerators PID governor tuning with an improved particle swarm optimization algorithm,中国电机工程学报,01-JAN-05 19、基于改进粒子群算法的水轮发电机组PID调速器参数优化,中国电机工程学报,01-JAN-05 20、Comparison of Different Integral Performance Criteria for Optimal Hydro Generator Governor Tuning with a Particle Swarm Optimization Algorithm,Lecture Notes in Computer Science,01-JAN-07 21、Nonlinear control for hydro turbine generator unit with time-varying parameters via state feedback linearization,2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3,01-JAN-04 22、Dynamic real-time simulator for hydraulic turbine generating unit based on programmable computer controller,IECON Proceedings (Industrial Electronics Conference),01-JAN-04 23、High Performance Hydraulic Turbine Governor Based on Programmable Computer Controller,Proccedings of the 2004 International Conference on Dynamics, Instrumentation and Control,01-JAN-04 24、基于面向对象技术的水电站数字仿真,扬州大学学报(自然科学版),01-JAN-03 25、水轮机调节系统非线性扰动解耦控制,中国电机工程学报,01-JAN-04 26、水轮机调节系统控制策略综述,人民长江,01-JAN-04 27、Recognizing Human Activity in Smart Home Using Deep Learning algorithm,Proceedings of the 33rd Chinese Control Conference,28-JUL-14 28、Human activity recognition based on feature selection in smart home using back-propagation algorithm,ISA Transactions,30-SEP-14 29、Speed Governor PID Gains Optimal Tuning of Hydraulic Turbine Generator Set with An Improved Artificial Fish Swarm Algorithm,Proceedings of the IEEE International Conference on Information and Automation,03-AUG-16 30、Real-time human activity recognition in smart home with binary tree SVM,Proceedings of the 35th Chinese Control Conference,27-JUL-16 31、Maximal relevance feature selection for human activity recognition in smart home,The 30th Chinese Control and Decision Conference,09-JUN-18 32、Active–disturbance–rejection–control and fractional–order–proportional–integral–derivative hybrid control for hydroturbine speed governor system,Measurement and Control,29-MAY-18 显示更多 科技成果 开授课程 教学成果 教学资源 社会职务 荣誉及奖励 招生信息 硕士研究生导师,目前可在控制理论与控制工程专业招收硕士研究生,主要从事:(1) 智能家居环境中人类活动的学习、预测与辨识等方面的研究工作; (2) 水力机组控制及其过渡过程;(3)基于高性能可编程计算机控制器(PCC)的水力机组数字控制装置。

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