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

358 篇 会议
1 篇 期刊文献

馆藏范围

359 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

331 篇 工学
- 209 篇 控制科学与工程
- 164 篇 计算机科学与技术...
- 139 篇 软件工程
- 41 篇 电气工程
- 38 篇 生物工程
- 34 篇 机械工程
- 30 篇 信息与通信工程
- 25 篇 电子科学与技术（可...
- 20 篇 交通运输工程
- 18 篇 生物医学工程（可授...
- 17 篇 化学工程与技术
- 16 篇 动力工程及工程热...
- 12 篇 航空宇航科学与技...
- 11 篇 力学（可授工学、理...
- 9 篇 材料科学与工程（可...
- 9 篇 冶金工程
- 7 篇 建筑学
210 篇 理学
- 146 篇 数学
- 60 篇 系统科学
- 51 篇 统计学（可授理学、...
- 39 篇 生物学
- 20 篇 物理学
- 14 篇 化学
38 篇 管理学
- 21 篇 图书情报与档案管...
- 19 篇 管理科学与工程(可...
- 7 篇 工商管理
12 篇 医学
- 12 篇 临床医学
- 11 篇 基础医学(可授医学...
- 10 篇 药学(可授医学、理...
9 篇 法学
- 6 篇 法学
6 篇 农学
3 篇 教育学
1 篇 经济学

主题

13 篇 reinforcement le...
12 篇 multi agent syst...
8 篇 deep learning
7 篇 failure analysis
7 篇 generative adver...
7 篇 machine learning
6 篇 lyapunov functio...
5 篇 time delay
5 篇 sliding mode con...
5 篇 state estimation
5 篇 predictive contr...
5 篇 controllers
4 篇 learning systems
4 篇 cyber physical s...
4 篇 anomaly detectio...
4 篇 defects
4 篇 neural networks
4 篇 iterative method...
4 篇 process control
4 篇 predictive model...

机构

6 篇 college of contr...
5 篇 college of artif...
5 篇 university of ch...
5 篇 college of infor...
4 篇 school of electr...
4 篇 school of electr...
4 篇 school of intell...
4 篇 college of infor...
4 篇 school of electr...
3 篇 school of inform...
3 篇 center for robot...
3 篇 school of inform...
3 篇 college of engin...
3 篇 school of mathem...
3 篇 kunming universi...
3 篇 engineering rese...
3 篇 institute of com...
3 篇 school of automa...
3 篇 control and simu...
3 篇 qingdao univ sci...

作者

10 篇 huang deqing
6 篇 chi ronghu
5 篇 li xiangyang
5 篇 ai wei
5 篇 chen zengqiang
5 篇 yang ying
5 篇 sun mingwei
5 篇 lu renquan
5 篇 ren hongru
4 篇 jiao xuguo
4 篇 liu xia
4 篇 liu yan
4 篇 yao wenlong
4 篇 liu shida
4 篇 ge zhiqiang
4 篇 yu wei
4 篇 wang yu
4 篇 wang xin
4 篇 hou zhongsheng
4 篇 liu shan

语言

350 篇 英文
9 篇 其他

检索条件"任意字段=10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021"

共 359 条记录，以下是211-220 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：

Closed-Loop Pitch Attitude control of Biomimetic Robotic Fish 9

Closed-Loop Pitch Attitude Control of Biomimetic Robotic Fis...

引用

9th ieee data driven control and learning systems conference (ddcls)

作者： Zhang, Yujie Li, Zonggang Du, Yajiang Lanzhou Jiaotong Univ Sch Mech Engn Lanzhou Peoples R China Lanzhou Jiaotong Univ Robot Inst Lanzhou Peoples R China

ISBN: (纸本)9781728159225

this paper considers the pitch control of a robotic fish with three degree-of-freedom(DOF) pectoral fins, wire-driven flexible body and a passive caudal fin. the linear model with undetermined parameters is first suggested to describe the dynamics of the pitch angles, which are the control parameters to adjust the posture of robotic fish. then, a control network based on Central Pattern Generators(CPGs) is proposed to separately adjust the state of each DOF. Finally, a compound controller is designed to adjust the amplitudes of pectoral Fins such that the desired pitch angle is tracked, in which an adaptive law combined with RBF neural network is proposed to estimate the undetermined parameters. the stability of the proposed algorithm is proved and then the validity is investigated by the simulation results.

关键词： Biomimetic robotic fish CPG pitch attitude control adaptive control RBF neural network

来源：评论

学校读者我要写书评

暂无评论

Analysis and Prediction of Glass Product Composition by Using control Variable Method 12

Analysis and Prediction of Glass Product Composition by Usin...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Li, Xin Li, Junhao Yu, Xiyu Zhang, Ruikun Qingdao Univ Sci & Technol Sch Math & Phys Qingdao 266061 Peoples R China

ISBN: (纸本)9798350321050

this paper investigates the composition and identification of ancient glass artefacts. First, the collected data were pre-processed to determine the chemical composition content of the glass artefacts before weathering. then, based on the variable control method, the effects of decoration and colour of two types of glass, high potassium glass and lead-barium glass, on the weathering of artefacts were determined. the statistical law of the presence or absence of weathering chemical composition on the surface of artefact samples was summarized by establishing a weathering change rate solution model. Meanwhile, based on the weathering change rate, the solution model for the content of chemical substances before weathering is summarized, and the content of different chemical components in ancient glass artefacts before weathering is predicted. Next, the second problem is carried out, which is to classify the glass and select the appropriate chemical composition for subclassification. Ancient glass artefacts were classified into the high-potassium glass and lead-barium glass based on their chemical composition and content, and the classification rules were analyzed. On this basis, the top eight indicators of chemical composition differences between the two types of artefacts were determined by comparison and subclassified by the K-means algorithm. Finally, model experiment results verified the correctness and validity of the models proposed in this paper.

关键词： control Variates Subclass Division Rate of Change in Weathering K-means Clustering

来源：评论

学校读者我要写书评

暂无评论

A Fault Diagnosis Method Based on Wavelet Denoising and 2DCNN under Background Noise 12

A Fault Diagnosis Method Based on Wavelet Denoising and 2DCN...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Liu, Kexin Li, Zhe He, Wenbin Peng, Jia Wang, Xudong Wang, Yaonan Hunan Univ Coll Elect & Informat Engn Changsha 410082 Peoples R China State Grid Hunan Elect Power Co Ltd Changsha 410029 Peoples R China Hunan Univ Sch Robot Changsha 410082 Peoples R China Natl Engn Res Ctr Robot Visual Sensing Control Te Changsha 410082 Peoples R China

ISBN: (纸本)9798350321050

this paper develops a novel method named wavelet denoising convolutional neural network (WDECNN) for fault diagnosis with background noise. the continuous wavelet transform (CWT) is first applied to transform the measured raw vibration data into time-frequency images which serve as the inputs of WDECNN. then, a light-weight two-dimensional CNN (2DCNN) model is incorporated in WDECNN to simplify the network architecture, while a wavelet denoising module is also applied in it to achieve high accuracy of fault identification in the noisy environment. Particularly, the wavelet denoising module which consists of wavelet decomposition and denoising is parallel to the 2DCNN model, and the denoising results are integrated into pooling layers in the 2DCNN model. thus, the denoised information is added to the 2DCNN model to improve its feature learning ability. Finally, the effectiveness of the developed method is validated on Paderborn bearing dataset, which illustrates its fault diagnosis capability under background noise.

关键词： Fault Diagnosis Background Noise Wavelet Denoising Convolutional Neural Network (CNN) data-driven

来源：评论

学校读者我要写书评

暂无评论

Resilient Distributed Secondary control Strategy for New Energy Shipboard Microgrid Against Bounded FDI Attacks 12

Resilient Distributed Secondary Control Strategy for New Ene...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Wang, Liangbin Yu, Renhai Lv, Jin Zhang, Bo Wang, Fuzhi Teng, Fei Dalian Maritime Univ Marine Elect Engn Coll Dalian 116026 Peoples R China Dalian Maritime Univ Nav Coll Dalian 116026 Peoples R China Port Guangzhou Pilot Stn Guangzhou 510700 Peoples R China Ningbo Pilot Stn Ningbo 315000 Peoples R China

ISBN: (纸本)9798350321050

the application of shipboard microgrids (SMGs) makes it possible to effectively use renewable new energy on the shipboard platform. As renewable energy sources are connected to SMGs in the form of distributed generators (DGs), the openness of the system increases and so does the risk of exposure to cyber attacks. In this paper, a resilient distributed secondary frequency control strategy for SMGs is constructed to resist false data injection (FDI) attacks. An attacker can tamper with the information in the communication links between the DGs of a SMG to prevent the DGs from outputting stable power, thereby causing oscillations in the entire SMG. To increase resilience to FDI attacks, the proposed resilient control strategy introduces a control network layer interconnected with the original data transmission layer to form a hierarchical communication network. By setting the SMG parameters, the proposed strategy can well reduce the negative effects of FDI attacks on DGs and ensure the stable operation of SMGs. Finally, the simulation results verify the effectiveness of the strategy.

关键词： distributed secondary control resilient control strategy FDI attacks shipboard microgrid distributed generator

来源：评论

学校读者我要写书评

暂无评论

Design and Application of Workshop Production Scheduling Strategy Based on Manufacturing Big data 12

Design and Application of Workshop Production Scheduling Str...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Wu, Bin Xiao, Yi Ren, Hongru Yang, Lan Lu, Renquan Guangdong Univ Technol Sch Automat Guangzhou 510006 Peoples R China Guangdong Univ Technol Guangdong Prov Key Lab Intelligent Decis & Cooper Guangzhou 510006 Peoples R China

ISBN: (纸本)9798350321050

A multi-objective flexible workshop production scheduling optimization model is established for a series of workshop data in manufacturing enterprises, such as delivery time, processing time, and machine energy consumption, with the goal of minimizing total weighted lead and delay time, minimizing maximum completion time, and minimizing total machine energy consumption. On the basis of the NSGA-II algorithm, a combination of random generation and heuristic generation is used to initialize the population, while introducing dynamic crossover, mutation probability, and an improved elite retention strategy based on dynamic update crowding operator to optimize the NSGA- II algorithm, and solving the scheduling model to obtain the optimal set of scheduling solutions. Compared with the original NSGA-II algorithm, the improved NSGA-II (INSGA-II) algorithm improves population diversity, accelerates convergence speed, avoids falling into local optima, and can obtain better scheduling schemes. Finally, the feasibility and effectiveness of the INSGA-II algorithm were verified through simulation experiments.

关键词： Manufacturing Big data Workshop Production Scheduling data Modeling

来源：评论

学校读者我要写书评

暂无评论

Backstepping Sliding Mode control of Dual-motor Servo System Based on Improved Double Power Reaching Law 12

Backstepping Sliding Mode Control of Dual-motor Servo System...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Xu, Shaman Tao, Liang Tao, Meiling Xu, Binzi Deng, Xiongfeng Shi, Linlin Anhui Polytech Univ Coll Elect Engn Wuhu 241000 Peoples R China South China Agr Univ Coll Engn Guangzhou 510642 Peoples R China

ISBN: (纸本)9798350321050

An improved double power reaching law is proposed in this paper to solve the nonlinear problem of the backlash in the mechanical transmission link of the dual motor driving servo system. Firstly, the dual-motor servo system with gear is established. then, the traditional double power reaching law and sliding mode surface are employed to obtain the filtered variables, which can construct a compensation term in original reaching law to reduce the compact of system uncertainties and disturbances. the convergence analysis and boundness of the improved double power reaching law are provided. Besides, the backstepping sliding mode control is investigated to greatly improves the convergence efficiency of the system, and the stability analysis is carried out. Finally, the effectiveness of the proposed methods is verified by simulations.

关键词： Dual-motor driving servo system backlash nonlinearity Improved double power reaching law Backstepping sliding mode control

来源：评论

学校读者我要写书评

暂无评论

Outlier Detection of Traction Energy Consumption Based on Local Density and Cluster for Time Series data 12

Outlier Detection of Traction Energy Consumption Based on Lo...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Zhang, Chengxi Xun, Jing Ji, Zhihui Yin, Chenkun Cao, Jiang Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China Beijing Jiaotong Univ Coll Elect & Informat Engn Beijing 100044 Peoples R China CRRC Qingdao Sifang Rolling Stock Co Ltd Qingdao 266111 Peoples R China

ISBN: (纸本)9798350321050

Traction energy consumption accounts for 40%-50% of the total energy consumption of urban rail transit. Outlier detection of traction energy consumption data is the key technology of traction energy consumption fluctuation analysis. To accurately detect abnormal traction energy consumption, this paper first proposes a calculation method of the typical value of traction energy consumption indicator based on the combination of the ARIMA model and XGBoost algorithm. Its core idea is to extract residual item information based on the XGBoost algorithm, and then integrate all information for modeling;then, based on the calculated typical values, this paper uses an incremental local density and cluster-based outlier factor (iLDCBOF) method to detect outliers. the experimental results show that the prediction effect of the ARIMA+XGBoost hybrid model is better than that of a single model. the proposed method can effectively detect abnormal energy consumption values in data streams.

关键词： Outlier Detection Traction Energy Consumption Local Density Typical Value Time Series data

来源：评论

学校读者我要写书评

暂无评论

Lα-regularization-based sparse semi-supervised learning for data with complex distributions 8

Lα-regularization-based sparse semi-supervised learning for...

引用

8th ieee data driven control and learning systems conference, ddcls 2019

作者： Zhang, Qi Chu, Tianguang School of Information Technology Management University of International Business Economics Beijing100029 China College of Engineering Peking University Beijing100871 China

ISBN: (纸本)9781728114545

We consider in this paper two kinds of complex data, i.e., multimodal and mixmodal data, and aim to develop data-driven learning models to exploit the intrinsic characteristics of the data. An $l-{\alpha}$-regularization-based sparse semi-supervised graph embedding (SSGE) model for feature extraction upon multimodal and mixmodal data is presented by incorporating the hierarchical locality with non-convex sparsity, facilitating better interpretation of the projections. Semi-supervised projection learning and $l-{\alpha}$-regularization-based sparse subspace learning are implemented successively, with feasible solving algorithms presented. Experiments for face recognition verifies the feasibility and effectiveness of the proposed SSGE model in both multimodal and mixmodal situations. © 2019 ieee.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Manufacturing Big data Modeling Algorithm Based on GM (1,1) - LSTM and Its Application in Sales Forecasting 12

Manufacturing Big Data Modeling Algorithm Based on GM (1,1) ...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Long, Yinren Xiao, Yi Ren, Hongru Lu, Renquan Guangdong Univ Technol Sch Automat Guangzhou 510006 Peoples R China Guangdong Univ Technol Guangdong Prov Key Lab Intelligent Decis & Cooper Guangzhou 510006 Peoples R China

ISBN: (纸本)9798350321050

It is a new period for the development of automobile industry, the economic situation is complex and changing, and the policies of automobile industry are frequently issued, so accurate prediction of automobile sales is extremely important and practical for both government and enterprises. In this paper, the GM(1,1) model and the long short-term memory (LSTM) neural network model are combined and optimized, and the sales of a brand of cars from January 2019 to September 2022 are used as sample data, and the car sales in the next three months are predicted by two single models and linear combination forecasting models, respectively. the experimental results show that the linear combined forecasting model outperforms the other two single models in terms of forecasting results and has better resistance to the interference of external factors.

关键词： Big data Modeling Sales Forecasting Manufacturing Enterprise

来源：评论

学校读者我要写书评

暂无评论

Research on UAV Formation Obstacle Avoidance Based on Consistency control 12

Research on UAV Formation Obstacle Avoidance Based on Consis...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Liu, Ruoyang Qu, Boyang Wei, Tao Zhang, Limin Yan, Li Chai, Xuzhao Zhongyuan Univ Technol Sch Elect Informat Zhengzhou 451191 Peoples R China Henan Univ Engn Sch Software Zhengzhou 451191 Peoples R China

ISBN: (纸本)9798350321050

Based on the graph theory, multi-UAV form a formation through the leader-follower method. the control command is sent to the leader UAV, and the formation of UAVs is led by the leader to the target location and avoids obstacles through an improved artificial potential field method, and the formation is controlled by a consistency protocol to keep the formation stable during the flight. If the leader UAV is balanced by forces at a certain place when it does not reach the target point, a random disturbance is triggered to make it jump out of the local minimum. through the formation consistency obstacle avoidance algorithm, the formation of UAVs is kept constant during the obstacle avoidance process to achieve formation position consistency control. Finally, the effectiveness of the algorithm is verified by MATLAB simulation.

关键词： UAV formation leader-follower method artificial potential field method consistency control

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36页 << < 18 19 20 21 22 23 24 25 26 27 > >>

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：