检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

505 篇 会议
1 篇 期刊文献

馆藏范围

506 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

295 篇 工学
- 246 篇 控制科学与工程
- 231 篇 计算机科学与技术...
- 47 篇 软件工程
- 20 篇 信息与通信工程
- 16 篇 电气工程
- 16 篇 生物工程
- 11 篇 机械工程
- 8 篇 电子科学与技术（可...
- 8 篇 交通运输工程
- 7 篇 建筑学
- 6 篇 航空宇航科学与技...
- 5 篇 环境科学与工程（可...
- 4 篇 船舶与海洋工程
- 4 篇 生物医学工程（可授...
- 3 篇 力学（可授工学、理...
- 3 篇 仪器科学与技术
- 3 篇 动力工程及工程热...
- 3 篇 土木工程
- 3 篇 化学工程与技术
63 篇 理学
- 37 篇 数学
- 19 篇 系统科学
- 18 篇 生物学
- 9 篇 统计学（可授理学、...
- 6 篇 物理学
- 3 篇 化学
19 篇 管理学
- 11 篇 图书情报与档案管...
- 7 篇 管理科学与工程(可...
- 4 篇 工商管理
5 篇 医学
- 5 篇 临床医学
3 篇 法学
- 3 篇 法学
2 篇 经济学
2 篇 教育学

主题

58 篇 mathematical mod...
37 篇 data models
32 篇 iterative learni...
26 篇 control systems
26 篇 feature extracti...
25 篇 convergence
25 篇 training
23 篇 adaptation model...
22 篇 deep learning
21 篇 heuristic algori...
19 篇 trajectory
18 篇 observers
18 篇 process control
18 篇 nonlinear system...
17 篇 reinforcement le...
16 篇 uncertainty
15 篇 predictive model...
14 篇 optimization
13 篇 fault diagnosis
13 篇 stability analys...

机构

5 篇 qingdao univ sci...
5 篇 state key labora...
5 篇 school of intell...
5 篇 school of electr...
5 篇 southwest jiaoto...
5 篇 guangxi univ sci...
4 篇 school of contro...
4 篇 college of contr...
4 篇 school of automa...
4 篇 jiangnan univ sc...
4 篇 college of artif...
4 篇 qingdao univ sch...
4 篇 tsinghua univ de...
4 篇 school of electr...
4 篇 school of electr...
4 篇 north china univ...
4 篇 school of mechan...
4 篇 xidian univ sch ...
4 篇 beijing univ che...
4 篇 shandong univ sc...

作者

11 篇 huang deqing
8 篇 liu shan
6 篇 wang yu
6 篇 hou zhongsheng
5 篇 wang shuo
5 篇 chen zengqiang
5 篇 liu xia
5 篇 zhongsheng hou
5 篇 sun qinglin
5 篇 xisheng dai
4 篇 li xia
4 篇 yuan yao
4 篇 li junmin
4 篇 xu dezhi
4 篇 chi ronghu
4 篇 bi kaitao
4 篇 ronghu chi
4 篇 sun mingwei
4 篇 wang li
4 篇 yang weilin

语言

501 篇 英文
5 篇 其他

检索条件"任意字段=9th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2020"

共 506 条记录，以下是451-460 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

PH control of Slurry in Wet Flue Gas Desulfurization Based on Model Free Adaptive control

PH Control of Slurry in Wet Flue Gas Desulfurization Based o...

引用

data driven control and learning systems (ddcls)

作者： Jian Liu Xiaoli Li Yang Li Faculty of Information Technology Beijing University of Technology Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Engineering Research Center of Digital Community Ministry of Education Beijing China Beijing Advanced Innovation Center for Future Internet Technology Beijing University of Technology Beijing China School of international studies Communication University of China Beijing China

ISBN: (数字)9781728159225

ISBN: (纸本)9781728159232

In limestone-gypsum wet flue gas desulfurization process, the pH change process of slurry in absorption tower has the characteristics of high nonlinearity, large lag and various disturbances. According to the process of pH control in wet flue gas desulfurization, a model free adaptive control algorithm based on compact form dynamic linearization (CFDL-MFAC) is designed. then the simulation is carried out with Matlab based on hammestein model of slurry pH control system. It is turned out that CFDL-MFAC algorithm can effectively use the input and output data of the pH control process to realize the tracking control of slurry pH and obtain high control accuracy, which verifies the effectiveness of the method. Compared with PID control, CFDL-MFAC controller can not only obtain better control effect, but also effectively suppress external disturbance.

关键词： Slurries Process control control systems Absorption Mathematical model Poles and towers Adaptation models

来源：评论

学校读者我要写书评

暂无评论

Sliding-Mode control of Dynamic Wireless Charging EV System

Sliding-Mode Control of Dynamic Wireless Charging EV System

引用

data driven control and learning systems (ddcls)

作者： Yayan Kang Yang Song Cheng Peng Ling Deng School of Mechatronic Engineering and Automation Shanghai University Shanghai China Shanghai Key Laboratory of Power Station Automation Technology Shanghai China

ISBN: (数字)9781728159225

ISBN: (纸本)9781728159232

the main challenge of electric vehicle (EV) dynamic wireless technology is the fluctuation of mutual inductance caused by the movement of EV, which leads to the instability of system. Based on the variable structure control, this paper proposes the output power regulation method of EV. Firstly, we use Biot-Savart Law to derive the mathematical expression of mutual inductance between transmitter and receiver of dynamic wireless charging (DWC) system. According to the mathematical expression, mutual inductance is related to the lateral misalignment, longitudinal offset and vertical distance of the transmitter coil and receiver coil. then, the state space equation based on Kirchhoff's voltage / current law is established for DWC system. Finally, in order to ensure the stability of the output power, a sliding mode controller is used to adjust the transmitted power for the DWC system and track the reference input. through simulation, it is proved that the system output is consistent under the condition of mutual inductance fluctuation brought by the relative distance change between transmitter and receiver.

关键词： Inductance Transmitters Receivers Inductive charging Fluctuations Power generation Vehicle dynamics

来源：评论

学校读者我要写书评

暂无评论

A New Hybrid Forecasting Architecture of Wind Power Based on A Newly Developed Temporal Convolutional Networks

A New Hybrid Forecasting Architecture of Wind Power Based on...

引用

data driven control and learning systems (ddcls)

作者： Yang Zhao Li Jia College of Mechatronics Engineering and Automation Shanghai University Shanghai P. R. China

Wind energy planning, dispatching and control in the generation and conversion of wind power generation industry are becoming more and more important for today9;s electrical power system, which needs accurate and s... 详细信息

ISBN: (数字)9781728159225

ISBN: (纸本)9781728159232

Wind energy planning, dispatching and control in the generation and conversion of wind power generation industry are becoming more and more important for today's electrical power system, which needs accurate and stable wind speed prediction A new nonlinear hybrid model, SSA-TCN is proposed to improve the accuracy of wind power prediction. Singular Spectral Analysis (SSA) is introduced into the proposed method to decompose the original wind power sequence into four parts: trend, primary detail components, secondary detail components and noise. Moreover, a new Temporal Convolutional Networks (TCN) network is adopted in this paper instead of the current most advanced LSTM network. the output of TCN model has a longer actual memory range and is better able to cope with the gradient disappearance. In order to verify the advancement of SSA-TCN, the experimental part shows that the performance comparison between SSA-TCN, TCN and LSTM. the result shows that SSA-TCN has the best performance of all.

关键词： Convolution Wind power generation Market research Hybrid power systems Trajectory Predictive models Kernel

来源：评论

学校读者我要写书评

暂无评论

Intelligent Sweeper Path Tracking control Based on Optimal Iterative learning

Intelligent Sweeper Path Tracking Control Based on Optimal I...

引用

data driven control and learning systems (ddcls)

作者： Wen-long Yao Zhen Pang Ronghu Chi Wei Shao Dejing Yang School of Automation and Electrical Engineering Qingdao University of Science and Technology Qingdao School of Aerospace Engineering Beijing Institute of Technology Beijing Shandong JinKaiFeng Machinery Technology Co. Ltd Yishui

ISBN: (数字)9781728159225

ISBN: (纸本)9781728159232

this paper studies the path tracking control system of intelligent sweeper. According to the fact that the intelligent sweeper mainly carries out the cleaning and sprinkling work in a fixed section periodically and has strong repeatability, this paper studies the path tracking control problem of the intelligent sweeper based on the optimal iterative learning control method. Firstly, the traditional intelligent sweeper path tracking system is transformed into the pre-sighting deviation angle tracking system. And the dynamic linearization data model is obtained by using the improved iterative dynamic linearization method. Secondly, an iterative expansion observer is added in this paper to deal with uncertain disturbances such as turbulence and measurement error in the path tracking control system of intelligent sweeper. It compensates for the unknown disturbance. Finally, the parameter iteration update rate and the optimal learning control rate of the intelligent sweeper control system are proposed. the optimal iterative control method with an iterative expansion observer can effectively utilize the repeated information in the path tracking process of the intelligent sweeper and effectively estimate the unknown disturbance. And it only utilizes the input and output information of the system, avoiding the difficult problem of modeling. Simulation results show the effectiveness of the proposed method.

关键词： Observers control systems Wheels Cleaning Roads Automation Vehicle dynamics

来源：评论

学校读者我要写书评

暂无评论

Using semi-supervised cluster method to correct the mislabeled training samples of ECG signals

Using semi-supervised cluster method to correct the mislabel...

引用

data driven control and learning systems (ddcls)

作者： Pengfei Wu Senping Tian School of Automation Science and Engineering South China University of Technology Guangzhou China

ISBN: (数字)9781728159225

ISBN: (纸本)9781728159232

the classification accuracy of electrocardiogram(ECG) signals will decrease when the labels of some samples in the training set are incorrect. To mitigate this negative impact, the semi-supervised method is introduced to correct the mislabeled samples. the proposed method is based on the basic principle that the characteristics of samples of the same category are more similar than those of samples of different categories, so in the feature space,the number of samples of the same category around a sample is more than that of different categories. Cross validation is used to divide the training set into sub training set and validation set, and the samples in the validation set are regarded as unlabeled, k nearest neighbour(KNN) classifier label the samples in the validation set according to the samples in the sub training set. Because there are mislabeled samples in the sub training set, it is difficult for KNN classifier to label all samples in the validation set correctly at one time. So we need to use the above method iteratively. thus, the mislabeled samples in the training set is basically corrected. Experients on the ECG signal corrected from the MIT-BIH arrhythmia database show the eectiveness of the proposed method.

关键词： Training Electrocardiography Wavelet transforms Standards Interference Machine learning Heart

来源：评论

学校读者我要写书评

暂无评论

Improved Convolutional Neural Network Based on Multi-head Attention Mechanism for Industrial Process Fault Classification

Improved Convolutional Neural Network Based on Multi-head At...

引用

data driven control and learning systems (ddcls)

作者： Wenzhi Cui Xiaogang Deng Zheng Zhang College of Control Science and Engineering China University of Petroleum Qingdao P. R. China

ISBN: (数字)9781728159225

ISBN: (纸本)9781728159232

Deep learning theory demonstrates its great power in the complicated data processing field. As a prevalent deep learning technology, convolutional neural network (CNN) has achieved some successful applications in the field of fault detection and classification in the complicated industrial systems because of its strong nonlinear feature extraction capability. However, the basic CNN views all the features equally and can not highlight these features which play a more important role in the fault classification procedure. To deal with this problem, this paper proposes an improved CNN model, called multi-head attention CNN (MACNN), to distinguish the importance of different features for better fault classification performance. In the MACNN framework, the raw training data are firstly analyzed by the multiple convolutional layers for feature extraction. then, the features obtained by the convolution layers are used as the input of the multi-head attention (MA) layers. the introduction of the MA mechanism can help exploit more meaningful information by emphasizing the important features. Lastly, the softmax classifier is utilized to classify the fault patterns. To test the method performance, one case study on the benchmark Tennessee Eastman industrial system is performed and the results show that MACNN gives the better fault classification results than the traditional feedforward neural network (FNN) and CNN models.

关键词： Feature extraction data models Convolution Training Task analysis Deep learning data mining

来源：评论

学校读者我要写书评

暂无评论

A Multi-Channel Multi-Head CNN Framework for Fault Classification in Industrial Process

A Multi-Channel Multi-Head CNN Framework for Fault Classific...

引用

data driven control and learning systems (ddcls)

作者： Hui Wu Yan Wang Junyu Lin Weidong Yang Yanwei Wang Ying Zheng The Key Laboratory of Image Information Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China Zhengzhou University of Light Industry Zhengzhou China Wuhan Institute of Technology Wuhan China

ISBN: (数字)9781728159225

ISBN: (纸本)9781728159232

this paper proposes a novel fault classification method via convolutional neural network with multi-channel and multi-head along the time dimension, which is defined as MM-CNN. the MM-CNN extracts features of industrial process data by convolutional layers from local to global level. Unlike traditional methods, this method can capture the independent features of every process variable and the relevant characteristics from sensor data to learn more useful latent fault patterns. Besides, a data preprocessing approach is proposed to transform original data for convolutional neural network. Finally, for all the all 21 faults in Tennessee Eastman(TE) process, this paper compares the proposed method with the published methods and a architecture which combines the convolutions of multi-head and a bidirectional Long Short-Term Memory (Bi-LSTM) layer in fault classification. the simulation results show that the method has better classification performance than the state-of-the-art methods.

关键词： Feature extraction Time series analysis Deep learning data models data mining Convolutional neural networks Convolution

来源：评论

学校读者我要写书评

暂无评论

Extraction and Recognition of Device Graphics in Process Flow Diagram

Extraction and Recognition of Device Graphics in Process Flo...

引用

data driven control and learning systems (ddcls)

作者： Wei Shao Guangze Wang Hongliang Xi Lei Feng College of Automation and Electronic Engineering Qingdao University of Science and Technology Qingdao China Shandong Chaoyue Data Control Electronics Co. Ltd

ISBN: (数字)9781728159225

ISBN: (纸本)9781728159232

Design analysis on process flow diagram can find the logical error and improve efficiency. Existing software used to drawing the process flow diagrams (such as AutoCAD or Visio) does not have recognition and analysis function. For the images output by software, this paper describes the method of extracting and recognition the device graphics representing the valves, gauges, etc. Since the sizes of same device graphics may be different, the device graphics have to be extracted and normalized. In extraction, the points which are obtained by convolving the image with gradient operators, are used to positioning the device graphics. Considering the difficulty of extraction and recognition, the devices graphics are classified by shape. the device graphics with a circle are extracted by circle detection and normalized according to radius. the other device graphics are extracted, and normalized by the bounding rectangle after contours shrink. In recognition, the improved template matching and the recognition method based on structure are used separately to recognize different device graphics. After experimentation, the method described in this paper can significantly improve the recognition rate of various types of device graphics.

关键词： Graphics Feature extraction Face recognition Production Image edge detection conferences Software

来源：评论

学校读者我要写书评

暂无评论

Board-level Intelligent Built-in Test Design of Digital Input Module by Improved BP Neural Network

Board-level Intelligent Built-in Test Design of Digital Inpu...

引用

data driven control and learning systems (ddcls)

作者： Yasong Wang Congzhi Huang Jianhua Zhang Guolian Hou School of Control and Computer Engineering North China Electric Power University Beijing China Key Laboratory of Power Station Energy Transfer Conversion and System North China Electric Power University Beijing China

ISBN: (数字)9781728159225

ISBN: (纸本)9781728159232

the built-in test (BIT) technology plays a major role in heavy-duty gas turbine control system. the accuracy of BIT is a guarantee for the normal operation of the equipment. In the actual production process, conventional BIT has a relatively high false alarm rate. In this paper, an intelligent built-in test (BIT) design method was presented for digital input (DI) module using a back propagation (BP), which was optimized by improved adaptive gravitational search algorithm (IAGSA) for quantitative analysis. In order to improve defect of the basic gravitational search algorithm (GSA), a tent map for population chaos initialization was proposed. Firstly, the status information that can reflect the failure of the DI module was chosen as experimental data. then, these data were handled by normalization. After that, multiple IAGSA-BP models were established with status information about DI module. the output of these models can fully represent the fault status of the DI module. Finally, the experimental results are shown to validate the effectiveness of the proposed approaches.

关键词： Biological neural networks Neurons control systems Training Hidden Markov models Turbines Optimization

来源：评论

学校读者我要写书评

暂无评论

A new Buoy-based BDS High-precision Positioning Terminal: Design and Experimental Results

A new Buoy-based BDS High-precision Positioning Terminal: De...

引用

data driven control and learning systems (ddcls)

作者： Lichun Yang Jieru Niu Xin Song School of Transportation Science and Engineering Beihang University Beijing China Jiangsu Automation Research Institute Lianyungang China

ISBN: (数字)9781728159225

ISBN: (纸本)9781728159232

the demand for high-precision positioning is increasing in modern marine applications such as marine engineering, marine transportation, marine energy development, and marine monitoring. the improvement of China's BeiDou Navigation Satellite System (hereinafter referred to as BDS) with the capability of global coverage service has made it possible to achieve high-precision positioning of the ocean using BDS sea-based augmentation technology. In this paper a high-precision positioning terminal deployed on a BDS-equipped buoy is proposed, with emphasis on the composition, key techniques, functions, and performance indicators involved. Multiple experiments have been conducted on the coastal area of the East China Sea in Zhoushan City, Zhejiang Province to test the positioning accuracy of the proposed terminal. the experimental results have demonstrated that the average positioning accuracy based on the BDS sea-based augmentation system can be achieved at centimeter accuracy level, which meets the high-precision positioning requirements of marine users. these results also indicated the promising potential of BDS to provide comprehensive functions and optimal performance.

关键词： Real-time systems Satellites Satellite navigation systems Position measurement Kinematics Base stations Antenna measurements

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共51页 << < 42 43 44 45 46 47 48 49 50 51 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：