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检索条件"任意字段=7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018"
474 条 记 录,以下是411-420 订阅
排序:
Performance Analysis of Marine Guidance Systematic Error Separation based on Linear Model
Performance Analysis of Marine Guidance Systematic Error Sep...
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data driven control and learning systems (ddcls)
作者: Xuanying Zhou Zhengming Wang Dong Li Jiongqi Wang Department of Mathematics Nation University of Defense and Technology Hunan P. R. China College of Systems Engineering Nation University of Defense and Technology Hunan P. R. China Unit 94 PLA 91550 Liaoning P. R. China
As the guidance systematic errors of inertial missiles directly determine the guidance accuracy, error separation is a vital data processing problem. the key point of error separation is to find out a good parameter e... 详细信息
来源: 评论
VISSIM Parameter Calibration Based on Traffic Characteristics Distribution at Signalized Intersections
VISSIM Parameter Calibration Based on Traffic Characteristic...
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data driven control and learning systems (ddcls)
作者: Ning Li Yujie Sun State Nuclear Electric Power Planning Design & Research Institute Co. Ltd Beijing
In order to increase the accuracy of traffic simulation and better reproduce the real traffic condition at signalized intersections, this paper proposed a parameter calibration method based on the traffic distribution... 详细信息
来源: 评论
Improved Kernel Fisher Discriminant Analysis for Nonlinear Process Fault Pattern Recognition
Improved Kernel Fisher Discriminant Analysis for Nonlinear P...
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data driven control and learning systems (ddcls)
作者: Xiaogang Deng Baowei Sun Lei Wang College of Information and Control Engineering China University of Petroleum Qingdao P. R. China
Kernel Fisher discriminant analysis (KFDA) has emerged as an well-known nonlinear fault pattern recognition method. However, traditional KFDA method does not consider the utilization of the high order statistical info... 详细信息
来源: 评论
Fault-Tolerant Motion Planning of Redundant Manipulator with Initial Position Error
Fault-Tolerant Motion Planning of Redundant Manipulator with...
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data driven control and learning systems (ddcls)
作者: Kene Li Jin Yang Chengzhi Yuan Jianqin Xu Xisheng Dai Jiawei Luo Department of Mechanical Industrial and Systems Engineering University of Rhode Island Kingston RI USA School of Electrical and Information Engineering Guangxi University of Science and Technology Liuzhou China Engineering Training Center Guangxi University of Science and Technology Liuzhou China Jiangxi Vocational College of Industry and Engineering Pingxiang China
In the robotic manipulator operation practice, it is necessary to adjust the manipulator initial state to an accurate configuration for executing a given path tracking task. However, it is difficult to achieve a desir... 详细信息
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On Closed - loop control of Matrix Converter with Double Voltage control
On Closed - loop Control of Matrix Converter with Double Vol...
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data driven control and learning systems (ddcls)
作者: Xinghe Ma Zhendong Zhang Dan Xu Kunchao Wang School of electrical Engineering and Automation Henan Polytechnic University Jiaozuo China
A novel closed-loop control strategy is designed and researched for a matrix converter with dual voltage synthesis control. the closed-loop control strategy is based on the dual-voltage control of the matrix converter... 详细信息
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Tracking control Strategy of PMSLM with A Novel Observer-based Compensator and A RBFNN-based controller
Tracking Control Strategy of PMSLM with A Novel Observer-bas...
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data driven control and learning systems (ddcls)
作者: Zhentian Liu Guangsen Wang Zhiwei Wang National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval Univ. of Engineering Wuhan
this paper is devoted to a high-precision tracking control strategy of permanent magnet synchronous linear motor (PMSLM). Firstly, the field-oriented control model of the PMSLM is established to calculate the electrom... 详细信息
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Balanced Levitation control of PEMS High Speed Maglev Train Considering System Model Non-Symmetry
Balanced Levitation Control of PEMS High Speed Maglev Train ...
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data driven control and learning systems (ddcls)
作者: Zhiqiang Wang Cuicui Huang Xiaolong Li Zhiqiang Long National University of Defense Technology Changsha P. R. China
PEMS (Permanent magnetic and Electro-Magnetic Suspension) high speed maglev train is proposed on the basis of normal EMS (Electro-Magnetic Suspension) high speed maglev train with permanent magnet added into the elect... 详细信息
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Modeling and Analysis of the Novel Stator Excitation Brushless Motor Based on Active Disturbance Rejection control
Modeling and Analysis of the Novel Stator Excitation Brushle...
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data driven control and learning systems (ddcls)
作者: Kelei Wang Zengqiang Chen Mingwei Sun Qinglin Sun College of Computer and Control Engineering Nankai University Tianjin P R. China
A novel stator excitation brushless motor having no windings and magnets in the rotor is proposed in this paper. the stator of the motor contains two sets of windings which named three-phase power windings and excitat... 详细信息
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Ensemble of Extreme learning Machines for Regression
Ensemble of Extreme Learning Machines for Regression
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data driven control and learning systems (ddcls)
作者: Atmane Khellal Hongbin Ma Qing Fei School of Automation Beijing Institute of Technology Beijing China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology China
Regression, as a particular task of machine learning, performs a vital part in data-driven modeling, by finding the connections between the system state variables without any explicit knowledge about the system, using... 详细信息
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Subordinate based Cluster Center Identification in Density Peak Clustering
Subordinate based Cluster Center Identification in Density P...
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data driven control and learning systems (ddcls)
作者: Jian Hou Aihua Zhang Lv Chengcong E Xu College of Engineering Institute of Automation Bohai University Jinzhou China College of Engineering Bohai University Jinzhou China College of Information Science Bohai University Jinzhou China
Recently, a clustering algorithm is proposed by treating local density peaks as cluster centers. this algorithm proposes to describe the data to be clustered with local density and the distance of one data to the near... 详细信息
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