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

1,614 篇 会议
27 篇 期刊文献
2 册 图书

馆藏范围

1,643 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,137 篇 工学
- 658 篇 计算机科学与技术...
- 453 篇 电气工程
- 404 篇 控制科学与工程
- 323 篇 软件工程
- 243 篇 信息与通信工程
- 141 篇 动力工程及工程热...
- 122 篇 电子科学与技术（可...
- 106 篇 机械工程
- 100 篇 石油与天然气工程
- 80 篇 环境科学与工程（可...
- 76 篇 交通运输工程
- 49 篇 材料科学与工程（可...
- 49 篇 安全科学与工程
- 43 篇 仪器科学与技术
- 43 篇 生物工程
- 28 篇 土木工程
- 26 篇 航空宇航科学与技...
- 25 篇 力学（可授工学、理...
- 24 篇 网络空间安全
- 21 篇 水利工程
407 篇 理学
- 301 篇 数学
- 72 篇 系统科学
- 57 篇 物理学
- 56 篇 统计学（可授理学、...
- 49 篇 生物学
218 篇 管理学
- 196 篇 管理科学与工程(可...
- 72 篇 工商管理
- 29 篇 图书情报与档案管...
29 篇 经济学
- 29 篇 应用经济学
13 篇 医学
12 篇 法学
12 篇 农学
7 篇 军事学
1 篇 教育学

主题

134 篇 optimization
39 篇 particle swarm o...
35 篇 neural networks
35 篇 genetic algorith...
31 篇 genetic algorith...
29 篇 wireless sensor ...
26 篇 neural network
25 篇 quality of servi...
24 篇 routing
22 篇 reinforcement le...
22 篇 heuristic algori...
21 篇 model predictive...
21 篇 simulation
21 篇 control systems
21 篇 voltage control
21 篇 mathematical mod...
20 篇 reactive power
19 篇 ant colony optim...
19 篇 resource managem...
18 篇 controllers

机构

6 篇 china electric p...
6 篇 beijing jiaotong...
5 篇 school of new en...
4 篇 school of electr...
4 篇 faculty of trans...
4 篇 changsha univers...
4 篇 state grid corpo...
4 篇 college of elect...
4 篇 power dispatchin...
4 篇 school of manage...
3 篇 state key labora...
3 篇 shanghai jiao to...
3 篇 indian inst tech...
3 篇 global energy in...
3 篇 school of electr...
3 篇 china elect powe...
3 篇 key lab measurem...
3 篇 shanghai jiao to...
3 篇 guangzhou power ...
3 篇 institute of sha...

作者

5 篇 zhang yan
5 篇 wang jun
4 篇 wang jian
4 篇 wang wei
4 篇 yang xu
4 篇 liu yu
4 篇 chen wei
4 篇 zhang yong
3 篇 zhou jie
3 篇 choudhury subhas...
3 篇 yu yixiao
3 篇 roy provas kumar
3 篇 zhang zhang
3 篇 sha linxiu
3 篇 lin zhichao
3 篇 li hengjie
3 篇 peng chen
3 篇 wang li
3 篇 yong zhang
3 篇 zhao liang

语言

1,556 篇 英文
82 篇 其他
7 篇 中文

检索条件"任意字段=3rd Euro-NF Conference on Network Control and Optimization"

共 1643 条记录，以下是431-440 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：

Research on Improved Method of Compound Harmonic Elimination Device Based on IHPO-DBN 3

Research on Improved Method of Compound Harmonic Elimination...

引用

3rd International conference on Artificial Intelligence, Human-Computer Interaction and Robotics, AIHCIR 2024

作者： Tan, Dong Zhu, Yongming He, Long Dept. of Distribution Network Management State Grid Changji Electric Power Supply Company Changji China

ISBN: (纸本)9798331534035

Fast and accurate suppression of ferroresonance fault can not only effectively protect electromagnetic voltage transformers, but also avoid potential risks of power system security and stability. Therefore, an improved method of compound harmonic elimination device based on deep learning to distinguish ferroresonance fault types is proposed. The device is divided into two parts: current limiting part has a combination of elements with current sensitive characteristics, and the identification part identifies fault types based on detecting neutral point current information, and accurately controls the resistance value of current limiting part. Among them, the identification part is realized by Deep Belief network (DBN) after Improved Hunter-Prey optimization (IHPO), which improves the accuracy and rapidity of fault identification module, so as to realize accurate control of current limiting components and achieve efficient suppression effect. Tests show the effectiveness of the proposed improved method. © 2024 IEEE.

关键词： Deep Belief network Ferroresonance Identification Improved Hunter-Prey optimization

来源：评论

学校读者我要写书评

暂无评论

Multi-Objective Cavity Filter Design Based on SR-BP Neural network Surrogate Model Optimized by Slime Mould Algorithm

Multi-Objective Cavity Filter Design Based on SR-BP Neural N...

引用

Data Science and Computer Application (ICDSCA), IEEE International conference on

作者： Wei Zhang Jian Qin Jiabing Deng Peng Wei School of Electronic and Communication Engineering Guangzhou University Guangzhou China

Aiming to solve the issues of large time cost, low efficiency, and high computational complexity in the design of cavity filters using traditional approaches, a multi-objective design approach for cavity filters based on the Slime Mould Algorithm (SMA) optimized Sparse Regularized BP neural network (SR-BP) surrogate model is proposed. This method first utilizes BP neural network to construct a surrogate model for cavity filter. Subsequently, a regularization term is added to its cost function, enabling further sparsity in the standard fully connected neural network. This achieves the reduction of model computational complexity and mitigates the risk of overfitting. To tackle the challenges of global optimization and control of sparse regularization intensity, the SMA is draw into the SR-BP neural network to optimize initial connection parameters and the sparse regularization factor. Finally, the optimized SMA-SR-BP surrogate model for the cavity filter is integrated with the multi-objective bionic intelligent optimization algorithm to solve the optimization design problem of multi-objective cavity filters.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adaptive optimization Algorithm for Power Load in Distributed Distribution networks Considering Equipment Capacity Constraints

Adaptive Optimization Algorithm for Power Load in Distribute...

引用

Electrical Engineering and control Science (IC2ECS), International conference on

作者： Lingyu Liang Huanming Zhang Xiangyu Zhao Shang Cao Wenqi Huang China Southern Power Grid Digital Grid Research Institute Co. Ltd Guangzhou Guangdong China

This paper proposes an action space preprocessing method adapted to the distribution network self-healing decision-making problem for the action space of the distribution network power load adaptive decision-making problem. On this basis, the traditional hybrid action space solving methods are analyzed, their limitations are pointed out, and reinforcement learning hybrid action space algorithms based on the state action value function, based on the state value function and based on the representation learning are proposed respectively. Based on the hybrid action characterization method, a high-quality implicit action space is constructed by mapping the discrete and continuous variables of the self-healing decision-making problem of the distribution network to the hidden variable space through embedded tables and conditional variational self-encoders. Finally, the action representations are decoded back to the original action space by the decoder of the action representations, and a hybrid encoding-decoding power load adaptive optimization algorithm for distributed distribution networks with discrete and continuous variables is established.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Gradient based Optimal State Feedback control design for Feedback Linearizable Nonlinear Nonaffine system 3

Gradient based Optimal State Feedback Control design for Fee...

引用

3rd IEEE International conference on Energy, Power and Environment - Towards Clean Energy Technologies (ICEPE)

作者： Raj, Kavyasree S. Shihabudheen, K., V Natl Inst Technol Dept Elect Engn Calicut Kerala India

ISBN: (纸本)9781665425360

In this paper, an optimal state feedback controller is designed for a nonaffine nonlinear system. The nonaffine system is converted into affine system using mean value theorem, since the analysis of affine nonlinear system is easy compared to nonaffine systems. Feedback linearization is used for linearizing the affine system. Then a gradient descent algorithm-based optimization approach is designed for feedback linearized system for optimal performance. The performance of the proposed method is presented by conducting simulation study on magnetic levitation system. A significant reduction in the minimum value of cost function is obtained using proposed method compared with the conventional LQR technique and PSO method.

关键词： Feedback Linearization Nonaffine nonlinear system Mean value theorem Gradient Descent algorithm Hessian Matrix Particle Swarm optimization (PSO)

来源：评论

学校读者我要写书评

暂无评论

Research on Automatic control and Regulation System of Central Air Conditioning Based on Computer Automatic control Technology

Research on Automatic Control and Regulation System of Centr...

引用

Power Electronics, Computer Applications (ICPECA), IEEE International conference on

作者： Zekun Wang Building Environment and Energy Application Engineering Taiyuan University of Technology Taiyuan China

Based on the computer automatic control technology, this paper designs the energy efficiency optimization method for the traditional water-cooled central air conditioning host system. The chilled water control based on load prediction fuzzy control and the cooling water control based on adaptive fuzzy algorithm are used in the system, and the cooling water supply of the chiller is matched with the end load demand, and the cooling water system is running at maximum efficiency. Then on the basis of the single point fault tolerance design and the key points of energy-saving automatic control design, the design effect of HVAC system in data room is analyzed. Compared with PID control and single neural network reinforcement learning control, the total energy consumption of the system is reduced by 5.36% and 1.64%, and the total proportion of non-comfort time is reduced by 2.32% and 1.37%, respectively.

关键词： Fuzzy control PI control Cooling optimization methods Reinforcement learning Central air conditioning Prediction algorithms

来源：评论

学校读者我要写书评

暂无评论

Model optimization Methods for Real-time 2D Human Pose Estimation Applied to Robots: A Survey

Model Optimization Methods for Real-time 2D Human Pose Estim...

引用

Robotics, Automation and Intelligent control (ICRAIC), International conference on

作者： Weiting He Bi Zeng Jianqi Liu Xiaoying Ye Fuken Zhou School of Computers Neusoft Institute Guangdong Foshan China School of Computers Guangdong University of Technology Guangzhou China School of Automation Guangdong University of Technology Guangzhou China

With the development of technology, there are more and more robots around us. These robots need to recognize human pose to monitor people or interact with people, so the human pose estimation model is required to be deployed on robots to achieve these functions. Human pose estimation involves the processing of more than a dozen joints, so the human pose estimation model usually has a relatively large amount of calculation resulting in a relatively slow detection speed. Transferring these large amounts of image data to cloud servers for human pose estimation detection will consume a lot of network resources and detection time will be delayed. And the robot’s local computing power is limited. So it is difficult to deploy both human pose estimation algorithm models and other complex algorithm models locally on robots. This requires various algorithms running locally on the robot to consume as little computing resources and real-time as possible. This paper studies the optimization methods of real-time 2D human pose estimation models studies in recent years, which are divided into three aspects: the optimization of the feature extraction network, the optimization of the joint point detection and the optimization of the joint point connection. And summarized the advantages and disadvantages of these optimization methods, attempting to apply them to robots.

关键词：

来源：评论

学校读者我要写书评

暂无评论

2022 IEEE International Power and Renewable Energy conference, IPRECON 2022

2022 IEEE International Power and Renewable Energy Conferenc...

引用

3rd IEEE International Power and Renewable Energy conference, IPRECON 2022

ISBN: (纸本)9781665491754

The proceedings contain 121 papers. The topics discussed include: mathematical modelling and analysis of linear induction motor;switched capacitor mli design ideology with less number of switches using hysteresis bandwidth control;a novel strategy for ramp rate control of wind farms;structural analysis of air transport network using network indicators;miniaturized micro-strip band-pass filters;advanced warning mechanism to reduce man animal conflict on roads using renewable energy;secure and light weight data sharing scheme in cyber physical cloud environment;internal ventilation and thermal characteristics of a new ventilation system for a large offshore permanent magnet wind turbine generator;performing pulse-width modulation using two different methods in a modular topology;economic analysis of grid level battery energy storage system using repurposed EV batteries;and de-orbit low thrust optimization to compute rapid orbit lowering trajectories.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Non-conservative Design of Robust Tracking controllers Based on Input-output Data 3

Non-conservative Design of Robust Tracking Controllers Based...

引用

3rd Annual conference on Learning for Dynamics and control (L4DC)

作者： Xu, Liang Turan, Mustafa Sahin Guo, Baiwei Ferrari-Trecate, Giancarlo Ecole Polytech Fed Lausanne Inst Mech Engn IGM Lausanne Switzerland

This paper studies worst-case robust optimal tracking using noisy input-output data. We utilize behavioral system theory to represent system trajectories, while avoiding explicit system identification. We assume that the recent output data used to implicitly specify the initial condition are noisy and we provide a non-conservative design procedure for robust control based on optimization with a linear cost and linear matrix inequality (LMI) constraints. Our methods rely on the parameterization of noise sequences compatible with the data-dependent system representation and on a suitable reformulation of the performance specification, which further enable the application of the S-lemma to derive an LMI optimization problem. The performance of the new controller is discussed through simulations.

关键词： data-driven control robust control reference tracking linear matrix inequalities

来源：评论

学校读者我要写书评

暂无评论

Real-Time Implementation of the PMSM Multi-Motors Sensorless control System 3

Real-Time Implementation of the PMSM Multi-Motors Sensorless...

引用

IEEE 3rd Global Power, Energy and Communication conference (IEEE GPECOM)

作者： Nicola, Marcel Nicola, Claudiu-Ionel Natl Inst Res Dev & Testing Elect Engn ICMET Craiova Res Dept Craiova Romania

ISBN: (纸本)9781665435123

This paper presents the structure of a Permanent Magnet Synchronous Motor (PMSM) multi-motor sensorless automation control system based on the Field Oriented control (FOC) type method. It presents the description of the component blocks of each Master/Slave subsystem, the optimal tuning of the Master and Slave controllers by using a Particle Swarm optimization (PSO) algorithm and estimations of the PMSM rotor position and velocity by using a Model Reference Adaptive System (MRAS) observer. In Simulink development software are achieved the numerical simulations to prove the performance of optimized controllers in case of uneven distribution of the load torque between Master and Slave. It also presents the implementation of a Supervisory control and Data Acquisition (SCADA) system which is characterized both by the implementation of PMSM Master/Slave control algorithms in dedicated controllers and the communication between Simulink and LabVIEW development software based on the Open Platform Communications (OPC) technology.

关键词： permanent magnet motors embedded system real-time OPC multi-motors

来源：评论

学校读者我要写书评

暂无评论

Application of Improved Ant Colony optimization in Vehicular Ad-hoc network Routing 3

Application of Improved Ant Colony Optimization in Vehicular...

引用

3rd IEEE Eurasia conference on IOT, Communication and Engineering, ECICE 2021

作者： Cui, Xinyu Chen, Guifen Changchun University of Science and Technology School of Electronics Information Engineering Changchun130022 China

ISBN: (纸本)9781665445160

This paper presents an improved ant colony optimization for vehicular ad-hoc network routing. The algorithm can quickly find the route with optimal network connectivity. Assuming that each vehicle has a digital map composed of intersections and streets, using the information contained in the data packet called ant, the vehicle can calculate the weight of each street, which is proportional to the network connection of the road section. The ant is launched by the vehicle in the intersection area. In order to find the best route between the source and destination, the source vehicle determines the best route on the street map with the minimum distance of the complete route. The performance is evaluated in the simulation environment. The simulation results show that compared with the VACO using ant algorithm, when the speed reaches 70 km/h, the transmission rate of data packets is increased by more than 10%. In addition, the routing control overhead and end-to-end delay of the proposed protocol are also reduced. © 2021 IEEE.

关键词： Vehicular ad hoc 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165页 << < 40 41 42 43 44 45 46 47 48 49 > >>

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：