唐英干 - 燕山大学 - 电气工程学院

研究领域

专利一种基于宽度学习网络特征提取的人脸识别方法及系统一种基于宽度神经网络的图像超分辨率重建方法及系统一种图像超分辨重建方法及系统科研项目 [1]大型高炉炼铁过程建模、三维可视化与节能减排优化控制, 2015/03/24-2018/07/06, 完成 [2]典型输电线路滤波、分割与识别研究, 2016/07/31-2019/07/09, 完成 [3]河北省高等学校工伤保险预警机制研究, 2016/05/09, 进行 [4]具有空间关系约束多字典稀疏表示的图像超分辨率研究, 2014/08/31-2017/12/31, 完成 [5]融入机理、数据和专家知识的高炉炼铁过程建模与控制, 2014/01/01-2017/05/26, 完成 [6]基于运算矩阵的复杂系统分数阶建模及分数阶控制器优化设计, 2014/01/01-2017/05/26, 完成 [7]基于支持向量机的块结构非线性模型的辨识, 2010/07/22-2014/11/12, 完成 [8]含微网新型配电系统的规划与控制, 2013/09/17-2018/11/20, 完成 [9]基于运算矩阵的分数阶系统辨识及在系统建模中的应用, 2013/05/28-2018/09/12, 完成 [10]超高速工业过程运行控制的关键基础理论研究, 2013/01/01-2016/08/30, 完成 [11]复杂工业过程分数阶建模与分数阶控制器参数优化设计, 2013/01/22-2015/12/31, 完成 [12]图像块灰色局部建模与多字典稀疏表示的图像超分辨率方法研究, 2012/12/18, 进行 [13]基于人工蜂群算法的分数阶PID控制器自整定及应用研究, 2012/11/13-2014/07/17, 完成 [14]结合灰色建模与多字典稀疏表示的图像超分辨率研究, 2012/08/17-2017/03/31, 完成 [15]背景反匹配和微分流形的目标稳健跟踪与归属判别, 2008/09/01-2012/04/20, 完成

近期论文

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[1] Li.Yinggan,Liu,Fucai,唐英干,Xiao,Wang,Ying,Ning,Han,Minyu,Tang.Optimal fractional order PID controller design for automatic voltage regulator system based on reference model using particle swarm optimization.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS.2017 [2] 唐英干.Wang,Weiwei,Tang,Yinggan,Li,Ning,Liu,Minmin,Lu,Yao.Identification of fractional-order systems with time delays using block pulse functions.MECHANICAL SYSTEMS AND SIGNAL PROCESSING.2017 [3] 华长春.王雅洁,李军朋,唐英干,卢志刚,关新平.基于NSGA-Ⅱ算法的高炉生产配料多目标优化模型建立.化工学报.2016 [4] 唐英干.基于二维最小Tsallis交叉熵的图像阈值分割方法.物理学报.2009 [5] 唐英干.基于粒子群和二维Otsu方法的快速图像分割.控制与决策.2007 [6] 唐英干.基于二维相关性的图像分割及快速递推算法.铁道学报.2007 [7] 唐英干.基于单纯形法和粒子群法的经济负荷分配.电力系统及其自动化学报.2009 [8] 唐英干.动态粒子群算法在经济负荷分配中的应用.计算机仿真.2009 [9] 唐英干.Fast recursive algorithm for two-dimensional Tsallis entropy threshold method.Journal of Systems Engineering and Electronics.2009 [10] 张黎明.华长春,唐英干,关新平.Ill-posed Echo State Network based on L-curve Method for Prediction of Blast Furnace Gas Flow.NEURAL PROCESSING LETTERS.2016 [11] 李军朋.华长春,唐英干,关新平.A fast training algorithm for extreme learning machine based on matrix decomposition.NEUROCOMPUTING.2016 [12] 王怀宝.唐英干,Wang,Shuen,Liu,Fucai.Chaotic System Identification Using Wiener-LSSVM Model.IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING.2016 [13] 唐英干.Guan,Xinping,Zhao,Liheng,Han,Zhenzhen,Bi,Xiangwei.Optimal gray PID controller design for automatic voltage regulator system via imperialist competitive algorithm.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS.2016 [14] 唐英干.Han,Zhenzhen,Liu,Fucai,Guan,Xinping.Identification and control of nonlinear system based on Laguerre-ELM Wiener model.COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION.2016 [15] 唐英干.Lian,Qiusheng(2),Tang,Yinggan(1),Bu,Chunning(1),Liu,Minmin(1),Zhang,LinLin(1).Application of ELM–Hammerstein model to the identification of solid oxide fuel cells.Neural Computing and Applications.2016 [16] 唐英干.Wang,Ying,Han,Mingyu,Lian,Qiusheng.Adaptive Fuzzy Fractional-Order Sliding Mode Controller Design for Antilock Braking Systems.JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME.2016 [17] 唐英干.Linlin(1),Lian,Qiushen(2),Tang,Yinggan,Han,Zhenzhen(1),Wang,Ying(1),Zhang.A changing forgetting factor RLS for online identification of nonlinear systems based on ELM–Hammerstein model.Neural Computing and Applications.2016 [18] Wang.Xinping,唐英干,Shuen,Weiwei,Liu,Fucai,Tang,Yinggan,Guan.Identification of chaotic system using Hammerstein-ELM model.NONLINEAR DYNAMICS.2015 [19] Wang.Tang,Yinggan(1,唐英干,Shuen(1,Han,Zhenzhen(1,2),Liu,Fucai(1.Nonlinear system identification using least squares support vector machine tuned by an adaptive particle swarm optimization.International Journal of Machine Learning and Cybernetics.2015 [20] 唐英干.刘海芳.基于空间邻域加权平均信息的二维FCM图像分割.燕山大学学报.2015