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

151 篇 会议
56 篇 期刊文献

馆藏范围

207 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

156 篇 工学
- 76 篇 控制科学与工程
- 59 篇 软件工程
- 58 篇 机械工程
- 56 篇 计算机科学与技术...
- 26 篇 电气工程
- 20 篇 仪器科学与技术
- 18 篇 动力工程及工程热...
- 15 篇 信息与通信工程
- 14 篇 电子科学与技术（可...
- 12 篇 材料科学与工程（可...
- 11 篇 交通运输工程
- 10 篇 冶金工程
- 8 篇 力学（可授工学、理...
- 8 篇 光学工程
- 6 篇 生物工程
- 5 篇 化学工程与技术
- 4 篇 土木工程
- 4 篇 航空宇航科学与技...
- 3 篇 建筑学
- 3 篇 生物医学工程（可授...
73 篇 理学
- 44 篇 数学
- 27 篇 系统科学
- 18 篇 物理学
- 7 篇 统计学（可授理学、...
- 5 篇 化学
- 5 篇 生物学
35 篇 管理学
- 31 篇 管理科学与工程(可...
- 8 篇 工商管理
- 4 篇 图书情报与档案管...
3 篇 法学
2 篇 经济学
- 2 篇 应用经济学
1 篇 农学
1 篇 医学

主题

8 篇 mathematical mod...
7 篇 observers
7 篇 fuzzy control
6 篇 convergence
6 篇 sliding mode con...
6 篇 backstepping
5 篇 servomotors
5 篇 nonlinear system...
5 篇 continuous casti...
4 篇 closed loop syst...
4 篇 vibrations
4 篇 adaptive control
3 篇 adaptive systems
3 篇 model predictive...
3 篇 hydraulic system
3 篇 electronic mail
3 篇 actuator fault
3 篇 path planning
3 篇 educational inst...
3 篇 interference

机构

55 篇 key lab of indus...
41 篇 key lab of indus...
12 篇 key lab. of indu...
12 篇 yanshan universi...
9 篇 school of electr...
8 篇 national enginee...
5 篇 school of contro...
5 篇 key lab of indus...
5 篇 key lab. of indu...
4 篇 key lab of indus...
4 篇 institute of ele...
4 篇 national enginee...
3 篇 tangshan univers...
3 篇 key lab of indus...
3 篇 key lab of heavy...
3 篇 school of electr...
3 篇 key lab of indus...
3 篇 engineering rese...
3 篇 key lab of indus...
3 篇 yanshan universi...

作者

19 篇 fang yiming
16 篇 yiming fang
10 篇 liu le
10 篇 li jianxiong
9 篇 jianxiong li
8 篇 yi-ming fang
7 篇 shuhuan wen
7 篇 le liu
6 篇 liu zhixin
6 篇 xinbin li
6 篇 li xinbin
6 篇 wen shuhuan
5 篇 liu fucai
5 篇 shi shengli
5 篇 shao nuan
5 篇 zang huaiquan
5 篇 wang hongbin
5 篇 chengyu yao
5 篇 fucai liu
5 篇 che haijun

语言

194 篇 英文
9 篇 中文
4 篇 其他

检索条件"机构=Key Lab of Industrial Computer Control Engineering of Heibei Province"

共 207 条记录，以下是81-90 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：

Dynamic Event-Triggered Formation control for Multiple Quadrotor UAVs

Dynamic Event-Triggered Formation Control for Multiple Quadr...

引用

第37届中国控制会议

作者： WANG Hongbin ZHOU Zhen WANG Yueling ZHANG Mingquan XUE Xiaojun Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University

This paper deals with the formation control problem for a group of quadrotor unmanned aerial vehicles（UAVs） through a modified dynamic event-triggered control protocol. The stability proof for the state space origin of the overall closed-loop system is derived from the singular perturbation method and Lyapunov stability theory. An event-triggered formation control protocol in terms of a dynamically varying threshold parameter is delicately carried out while acquiring satisfactory resource efficiency, and Zeno behavior of triggering time sequences is excluded. Finally, simulations on four quadrotor UAVs are given to verify the effectiveness of the theoretical results.

关键词： Formation control Singular perturbation Dynamic event-triggered controller Multiple quadrotor UAVs

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Q-learning obstacle avoidance algorithm of humanoid robot in unknown environment 37

Fuzzy Q-learning obstacle avoidance algorithm of humanoid ro...

引用

37th Chinese control Conference, CCC 2018

作者： Wen, Shuhuan Chen, Jianhua Li, Zhen Rad, Ahmad B. Mohammed Othman, Kamal Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066004 China School of Engineering Sciences Simon Fraser University SurreyBCV3T 0A3 Canada

ISBN: (纸本)9789881563941

This paper proposes a fuzzy Q-learning (FQL) algorithm to solve the problem of the robot obstacle avoidance in unknown environment. FastSLAM algorithm is used to localize the position of the robot. Traditional Q-learning algorithm, optimized Q-learning algorithm, FQL algorithm are compared. The simulation results show that FQL algorithm has a faster learning speed than other two algorithms and the results demonstrate that the fuzzy Q-learning obstacle avoidance algorithm is effective. © 2018 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Anthropomorphic robots

来源：评论

学校读者我要写书评

暂无评论

Sensor Fault Detection of Continuous Casting Mold Vibration System Driven by Servo Motor

Sensor Fault Detection of Continuous Casting Mold Vibration ...

引用

Chinese control Conference (CCC)

作者： Xia Wu Jianxiong Li Yiming Fang Zhiqiang Wang Key Lab of Industrial Computer Control Engineering of Yanshan University Qinhuangdao Hebei Province China

The problem of sensor fault diagnosis and reconstruction of the continuous casting mold vibration displacement system driven by servo motor is investigated in this paper, and a fault reconstruction method based on adaptive sliding mode observer is proposed. Firstly, the matching condition of the observer is satisfied by constructing an auxiliary output, and a new state variable is selected as the low-pass filter with the fault vector output. Then an adaptive sliding mode observer is designed for the auxiliary output system in the present of the unknown upper bound of the fault, in which the adaptive switching gain is updated online. The gain matrix of the observer is obtained by solving a LMI optimization problem. And a linear transforming matrix is introduced to realize the direct estimation of the fault by the principle of the equivalent control output error injection. Finally, simulation results are given to illustrate the effectiveness of the proposed method.

关键词： Observers Casting Mathematical model Servomotors Adaptive systems Vibrations Upper bound

来源：评论

学校读者我要写书评

暂无评论

An Ameliorated Moth-flame Optimization Algorithm

An Ameliorated Moth-flame Optimization Algorithm

引用

Chinese control Conference

作者： Xiao-dong Zhao Yi-ming Fang Zhuang Ma Miao Xu Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

To improve the global search ability under the condition of ensuring convergence speed, it is still a major challenge for most meta-heuristic optimization algorithms. The Moth-Flame Optimization (MFO) algorithm is an innovative nature-inspired algorithm. To improve the precision of the solution and to quicken the convergence speed and to increase the stability of MFO, an ameliorated Moth-flame optimization algorithm (A-MFO) that combines the crisscross optimization algorithm with MFO is proposed to solve this problems that are mentioned above. The performance of proposed A-MFO is demonstrated on six benchmark mathematical function optimization problems regarding superior accuracy and lower computational time achieved compared to other well-known nature-inspired algorithms.

关键词： Optimization Fires Convergence Sociology Statistics Benchmark testing Heuristic algorithms

来源：评论

学校读者我要写书评

暂无评论

A novel multi-objective decomposition particle swarm optimization based on comprehensive learning strategy 36

A novel multi-objective decomposition particle swarm optimiz...

引用

第36届中国控制会议

作者： Lixin Wei Rui Fan Xin Li Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University

ISBN: (纸本)9781538629185

Comprehensive learning particle swarm optimization（CLPSO） algorithm has a good performance in overcoming premature convergence and avoiding getting stuck in local minima, which are shortcomings in particle swarm optimization. It can solve complex, multi-modal of single-objective problems, but it has not such performance in handling multi-objective optimization problems because of the difficulty of selective solution mechanism. In this article, a multi-objective decomposition particle swarm optimization based on comprehensive learning strategy is proposed, which uses a comprehensive learning strategy for multi-objective problems to prevent premature convergence;updates the leading particles by decomposition method to enhance the distribution of solutions;adds the archive to preserve non-dominated solutions, and adopts mutation in archive to avoid falling into local optimum. The proposed approach is compared with three multi-objective evolutionary algorithms and the results indicate that the proposed approach is competitive respect to which it is compared in most of the test problems adopted.

关键词： comprehensive learning particle swarm optimization multi-objective optimization decomposition

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Q-learning obstacle avoidance algorithm of humanoid robot in unknown environment

Fuzzy Q-learning obstacle avoidance algorithm of humanoid ro...

引用

第37届中国控制会议

作者： Shuhuan Wen Jianhua Chen Zhen Li Ahmad B.Rad Kamal Mohammed Othman the Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University the school of Engineering Sciences Simon Fraser University

This paper proposes a fuzzy Q-learning(FQL)algorithm to solve the problem of the robot obstacle avoidance in unknown *** algorithm is used to localize the position of the *** Q-learning algorithm,optimized Q-learning algorithm,FQL algorithm are *** simulation results show that FQL algorithm has a faster learning speed than other two algorithms and the results demonstrate that the fuzzy Q-learning obstacle avoidance algorithm is effective.

关键词： FASTSLAM fuzzy logic control path planning obstacle avoidance Q-learning

来源：评论

学校读者我要写书评

暂无评论

Research and Application of Flatness control for Tandem Cold Rolling

Research and Application of Flatness Control for Tandem Cold...

引用

第37届中国控制会议

作者： LI Xiaogang FANG Yiming LIU Le Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling

Compound wave defect occurs in flatness during tandem cold rolling when high-end automobile and household appliance plate are produced, which has several impact on line speed and quality of final product. In this paper, a further research is done on sourcing cause of formation for the flatness defect. In combination with adjusting actuators and automatic flatness control principles, Achieving target flatness by rolls tilting, work rolls bending, middle rolls bending, and section cooling *** control output of tilting, work rolls and middle rolls bending are calculated by the least square method. Section cooling control output of rolling is calculated by the typical fuzzy control theory. The least square method and fuzzy control algorithm are optimized so as to enhance control accuracy of automatic flatness, and at the same time largely improve flatness of steel strip, reduce working strength of operators and improve production efficiency of production line.

关键词： Tandem cold rolling Automatic flatness control Least square method Fuzzy control

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Q-learning obstacle avoidance algorithm of humanoid robot in unknown environment

Fuzzy Q-learning obstacle avoidance algorithm of humanoid ro...

引用

Chinese control Conference

作者： Shuhuan Wen Jianhua Chen Zhen Li Ahmad B. Rad Kamal Mohammed Othman Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China School of Engineering Sciences Simon Fraser University Surrey BC Canada

关键词： Collision avoidance Path planning Convergence Humanoid robots Mobile robots Fuzzy sets

来源：评论

学校读者我要写书评

暂无评论

An Ameliorated Moth-flame Optimization Algorithm

An Ameliorated Moth-flame Optimization Algorithm

引用

第37届中国控制会议

作者： Xiao-dong Zhao Yi-ming Fang Zhuang Ma Miao Xu Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Tangshan University

To improve the global search ability under the condition of ensuring convergence speed, it is still a major challenge for most meta-heuristic optimization algorithms. The Moth-Flame Optimization（MFO） algorithm is an innovative nature-inspired algorithm. To improve the precision of the solution and to quicken the convergence speed and to increase the stability of MFO,an ameliorated Moth-flame optimization algorithm（A-MFO） that combines the crisscross optimization algorithm with MFO is proposed to solve this problems that are mentioned above. The performance of proposed A-MFO is demonstrated on six benchmark mathematical function optimization problems regarding superior accuracy and lower computational time achieved compared to other well-known nature-inspired algorithms.

关键词： Moth-flame optimization algorithm crisscross optimization algorithm stochastic optimization convergence

来源：评论

学校读者我要写书评

暂无评论

Looseness Detection of Rail Fasteners Using MEMS Sensor and Power Spectrum Entropy

Looseness Detection of Rail Fasteners Using MEMS Sensor and ...

引用

International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS)

作者： Hao Sun Zhikun Zhan Hongyu Zhang Junshan Liu Xiaopeng Sha Xiaodong Yu Jianing Yu Yuliang Zhao Lianqing Liu Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China State key Laboratory of Robotics Chinese Academy of Sciences

ISBN: (纸本)9781538694091;9781538694084

Rail fasteners, a key component of a railway track, are used to connect the rail and the sub-rail foundation together with the required degree of elasticity. Severely loose or failed fasteners may lead to serious safety hazards for rail transportation. However, current strategies for determining fastener looseness are mainly implemented manually, which is labor-intensive, inefficient and less-than-objective. In this paper, we propose a system that uses a MEMS acceleration meter and a wireless data transmission technique to detect railway fasteners. Vibration was generated by hitting the rail with a hammer. Then the acceleration data was transmitted to the cloud by the Global System for Mobile Communications (GSM) technique. The fastener looseness was analyzed using power spectrum entropy and frequency domain analysis. Results from the field experiments show that our method can identify the fastener's loosening state accurately and automatically. This wireless, low-cost fastener inspection system is expected to provide an effective approach to improving the efficiency of regular railway maintenance..

关键词： Conferences Artificial intelligence Medical services Robot sensing systems IP networks

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21页 << < 5 6 7 8 9 10 11 12 13 14 > >>

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：