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

11,839 篇 会议
263 篇 期刊文献
77 册 图书
3 篇 学位论文

馆藏范围

12,182 篇 电子文献
3 种 纸本馆藏

日期分布

学科分类号

6,273 篇 工学
- 3,346 篇 计算机科学与技术...
- 2,883 篇 控制科学与工程
- 1,638 篇 电气工程
- 1,636 篇 软件工程
- 876 篇 机械工程
- 439 篇 信息与通信工程
- 309 篇 交通运输工程
- 304 篇 动力工程及工程热...
- 280 篇 电子科学与技术（可...
- 266 篇 力学（可授工学、理...
- 261 篇 航空宇航科学与技...
- 236 篇 仪器科学与技术
- 200 篇 化学工程与技术
- 192 篇 石油与天然气工程
- 181 篇 材料科学与工程（可...
- 165 篇 土木工程
- 153 篇 生物工程
- 134 篇 生物医学工程（可授...
- 115 篇 建筑学
- 115 篇 环境科学与工程（可...
2,135 篇 理学
- 1,285 篇 数学
- 544 篇 系统科学
- 494 篇 物理学
- 298 篇 统计学（可授理学、...
- 200 篇 生物学
- 163 篇 化学
1,180 篇 管理学
- 1,056 篇 管理科学与工程(可...
- 365 篇 工商管理
- 168 篇 图书情报与档案管...
125 篇 医学
109 篇 经济学
86 篇 法学
51 篇 农学
44 篇 教育学
24 篇 军事学
16 篇 文学
5 篇 艺术学
1 篇 历史学

主题

1,588 篇 control systems
1,240 篇 computational mo...
698 篇 mathematical mod...
457 篇 process control
322 篇 power system mod...
306 篇 neural networks
275 篇 optimization
258 篇 modeling
250 篇 predictive model...
241 篇 automation
227 篇 analytical model...
213 篇 automatic contro...
203 篇 object oriented ...
203 篇 inverse problems
201 篇 traffic control
199 篇 biological syste...
179 篇 load modeling
177 篇 application soft...
175 篇 real time system...
174 篇 robots

机构

51 篇 state key labora...
48 篇 chinese acad sci...
28 篇 hubei key labora...
25 篇 school of automa...
23 篇 samara state tec...
21 篇 university of ch...
20 篇 school of artifi...
18 篇 univ chinese aca...
17 篇 samara state tec...
17 篇 the state key la...
15 篇 key laboratory o...
15 篇 engineering rese...
14 篇 school of automa...
14 篇 state key labora...
13 篇 taras shevchenko...
13 篇 sumy state unive...
12 篇 the state key la...
12 篇 department of au...
11 篇 russian acad sci...
11 篇 univ chinese aca...

作者

26 篇 fei-yue wang
19 篇 dongbin zhao
17 篇 xiong gang
17 篇 wang fei-yue
14 篇 nikitina t.
13 篇 jian wang
11 篇 yasuda gen'ichi
11 篇 fenghua zhu
11 篇 mengchu zhou
11 篇 daniel zeng
10 篇 xu hao
10 篇 bobtsov alexey a...
9 篇 wang xiao
9 篇 liu yang
9 篇 soeffker dirk
9 篇 kononov dmitry
9 篇 c.m. mitchell
9 篇 zhu fenghua
8 篇 lei wang
8 篇 wang lei

语言

11,955 篇 英文
127 篇 其他
89 篇 中文
20 篇 俄文
1 篇 捷克文
1 篇 意大利文
1 篇 乌克兰文

检索条件"任意字段=International Conference on Complex Systems: Control and Modeling Problems"

共 12182 条记录，以下是101-110 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：

Analysis of Oscillations in Nonlinear Human-Operated Robotic System

Analysis of Oscillations in Nonlinear Human-Operated Robotic...

引用

international Russian Smart Industry conference (SmartIndustryCon)

作者： Boris Andrievsky Nikolay V. Kuznetsov Iuliia Zaitceva dep. Control of Complex Systems Institute of Problems in Mechanical Engineering of RAS dept. Applied Cybernetics St. Petersburg State University St. Petersburg Russia dep. Information and Control Systems Institute of Problems in Mechanical Engineering of RAS

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

The development of automation is characterized by the increasing complexity of control tasks associated with various technical objects. However, this does not exclude the human element from the control process. Manual control has certain drawbacks that negatively impact the quality of management, primarily arising from the interaction between the operator and the nonlinear dynamics of the robot. This study examines a manual control system for a robotic manipulator, taking into account nonlinear constraints that may manifest as limitations on the power of the actuating mechanism or as part of a local regulator. The parameters of the operator's control actions exhibit a certain range due to individual characteristics of the human operator or the control technique employed. Additionally, signal transmission delays may be present in the control loop. Considering these system characteristics provides a more comprehensive understanding of control quality and allows for the establishment of acceptable control techniques for the human operator. Depending on the frequency of input disturbances, this work analyzes the closed-loop system comprising the operator and manipulator using methods based on harmonic linearization of nonlinearity and harmonic balance equations: locus of a perturbed relay system and harmonic stabilization. The results of calculations and simulations using these methods indicate that there exists a parameter space within which oscillations may arise. Thus, when designing manual control systems for robotic manipulators, it is essential to pay attention to the control techniques employed by the human operator and to overall delays in order to avoid undesirable operational modes of the system.

关键词： Training Service robots System performance Human factors Harmonic analysis Mathematical models Delays Relays Oscillators Remote control

来源：评论

学校读者我要写书评

暂无评论

Enhanced Power Quality in Grid-Tied PV systems Using an Optimized ANFIS controller for a 5-Level MLI

Enhanced Power Quality in Grid-Tied PV Systems Using an Opti...

引用

Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), international conference on

作者： Rekha B H R Ramesh Department of Electrical Engineering University Visvesvaraya College of Engineering Bangalore India

ISBN: (数字)9798350356236

ISBN: (纸本)9798350356243

Multilevel inverters (MLIs) provide a major advancement for renewable energy and industrial applications. They offer superior performance compared to conventional inverters by reducing switch rating size and increasing efficiency. However, it has some drawbacks, including a complex pulse width modulation control, voltage balancing challenges, and an increased number of switches. To overcome these issues, the proposed MLI topology is modelled to minimize number of DC sources and switches while also enhancing the modularity and expanding the number of output levels. Switching pulses for five-level MLI is optimized using an Adaptive Neuro-fuzzy interference system (ANFIS) controller to produce the most effective switching signals for the proposed inverter. Dynamic voltage restorer (DVR) is utilized in the system to address power quality (PQ) problems, including harmonics, voltage swells, and voltage sags. The findings show that the ANFIS controller produces a Total Harmonic Distortion (THD) of 1.66%, while the fuzzy controller results in a THD of 6.54%.

关键词： Renewable energy sources Adaptive systems Voltage fluctuations Power quality Switches Interference control systems Multilevel inverters Harmonic analysis Voltage control

来源：评论

学校读者我要写书评

暂无评论

Harmonic Reduction and Voltage Stabilization in Grid-Connected Photovoltaic systems Using Z-Source Converters

Harmonic Reduction and Voltage Stabilization in Grid-Connect...

引用

Industrial Electronics: Developments & Applications (ICIDeA), IEEE international conference on-

作者： Ritesh Dash Bindu shree S Gowri S Biradar Sarat Chandra Swain Pradeep Kumar Sahu Ranjeeta Patel School of EEE REVA University Bengaluru India School of Electrical Engineering KIIT University Bhubaneswar India

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

This This paper presents a detailed investigation into the performance and operational advantages of Z-Source Converters (ZSCs) in renewable energy systems, particularly focusing on photovoltaic (PV) applications. ZSCs, with their unique impedance network, offer a significant improvement over conventional voltage and current source converters by providing both buck-boost functionality without requiring complex control algorithms. The study examines the ability of ZSCs to enhance energy efficiency, reduce harmonic distortion, and improve voltage stability, making them well-suited for grid integration and battery management systems in electric vehicles. Simulations and comparative analyses between traditional converters and ZSCs demonstrate the superior performance of ZSCs, especially in maintaining consistent power output under variable load conditions. By incorporating ZSCs into renewable energy and electric vehicle systems, this research emphasizes their potential to facilitate higher efficiency and reliability, contributing to a sustainable energy future. A MATLAB Simulink model has been developed to address the proposed technique

关键词： Vibrations Photovoltaic systems Renewable energy sources PI control Power system stability Electric vehicles Stability analysis Voltage control Turbines Load modeling

来源：评论

学校读者我要写书评

暂无评论

Financial Management Early Warning System based on Improved Bi-Directional Gated Recurrent Unit

Financial Management Early Warning System based on Improved ...

引用

Intelligent systems and Computational Networks (ICISCN), international conference on

作者： Yao Xia Wanjiang University of Technology Maanshan China

ISBN: (数字)9798331529246

ISBN: (纸本)9798331529253

In recent years, predicting financial risk warnings is significant for protecting economic stability, and enabling realistic actions over market crises, systemic risks and credit defaults. Previous researchers suggested various traditional models but still, because of the complexity of and high-dimensional financial data there are challenges such as; noise, macroeconomic factors and thus facilitates model interpretability for stakeholders, and computing uncertainty to improve confidence in predictions. In this research, Improved Bi-Directional Gated Recurrent Unit (Bi-GRU) method is proposed for effective and early financial risk prediction. Initially, Factor Analysis (FA) is used for acquiring common factors among the non-financial and financial indicators. Further, Improved Bi-GRU is employed for predicting the financial risks by capturing complex relationships and focuses on relevant information within the financial data can lead to effective predictions of market trends, stock prices and other financial indicators. Then, the Particle Swarm Optimization (PSO) is used to optimizes learning rates of Improved Bi-GRU. From the results, the Improved Bi-GRU model attains effective results including MSE (0.0029), MAPE (2.1987) and MAE (0.0489) respectively compared to the FA, Particle Swarm Optimizer and Long Short-Term Memory namely FA-PSO-LSTM.

关键词： Uncertainty Computational modeling Biological system modeling Bidirectional control Predictive models Financial management Alarm systems Data models Stakeholders Particle swarm optimization

来源：评论

学校读者我要写书评

暂无评论

Evolution of Technologies: Digital Twins of NPP Power Units, Intelligent NPP Operator Support systems and the Path to Industry 5.0

Evolution of Technologies: Digital Twins of NPP Power Units,...

引用

international Russian Smart Industry conference (SmartIndustryCon)

作者： Elena Jharko Kirill Chernyshov Ekaterina Abdulova Laboratory of Distributed Information Analytical and Control Systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia Laboratory of Identification of Control Systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia Laboratory of Security of Complex Systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

The paper discusses key aspects of the digitalization of nuclear power in the context of the transition to Industry 5.0. The topic's relevance is due to the global transition of world industries to the concept of Industry 5.0, which is focused on integrating digital technologies, strengthening the human-centricity of management services, and increasing their adaptability to new challenges. Particular attention is paid to the use of digital twins and intelligent operator support systems (IOSS) at nuclear power facilities, which transforms their management, considering modern safety, reliability, and efficiency requirements. The paper describes the principles of creating digital twins of NPPs and considers the role of IOSS, the main tasks of which are to increase the level of awareness of NPP operators about the current state of the system, reduce the response time to emergency events, and automate decision-making. The authors propose an algorithm for interacting with a digital twin and IOSS, including collecting and processing data from real systems, modeling in a virtual environment, forecasting scenarios, and recommendations to the operator for optimal control. The algorithm ensures synchronization of the digital model with actual processes, optimization of operating parameters, and increased safety through early detection of deviations. The paper also focuses on the connection of the algorithm with the principles of Industry 5.0.

关键词： Machine learning algorithms Virtual environments Transforms Prediction algorithms Digital twins Safety Time factors Fifth Industrial Revolution Sustainable development Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Logic based Scheduling Optimization and Risk control in Power systems

Fuzzy Logic based Scheduling Optimization and Risk Control i...

引用

Intelligent systems and Computational Networks (ICISCN), international conference on

作者： Xuejing Qiu Xin He State Grid Information & Communication Branch of Hubei Electric Power Co. Ltd Wuhan China Wuhan Diameter Technology Co. Ltd Wuhan China

ISBN: (数字)9798331529246

ISBN: (纸本)9798331529253

The expansion of power system scale and the development of new energy further increase the complexity and uncertainty of power system. This also brings new challenges to the traditional power system dispatching optimization model and risk control technology. Therefore, this paper attempts to propose a scheduling optimization model and risk control strategy based on fuzzy logic to solve the uncertainty and complexity problems in the new power system. The research focus of this paper includes the construction of fuzzy logic model, the selection of key fuzzy variables and the establishment of fuzzy rule base with fuzzy reasoning mechanism. The main contents include the selection and fuzzification of fuzzy variables, the establishment of fuzzy rule base, the realization of fuzzy reasoning mechanism, the modeling of power system scheduling optimization and the integration of risk control strategies. Through the comparison of simulation experiments, it can be seen that fuzzy logic scheduling strategy is superior to traditional deterministic scheduling strategy in running cost, system stability and scheduling efficiency. Fuzzy logic strategy can greatly reduce the operating cost, the highest operating cost is only $347, and the highest scheduling efficiency reaches 93%, which provides new ideas and methods for power system scheduling optimization and control, and is of great significance to realize efficient and stable operation of power system.

关键词： Fuzzy logic Costs Uncertainty Processor scheduling Optimization models Power system stability Stability analysis Scheduling Optimization Fuzzy reasoning

来源：评论

学校读者我要写书评

暂无评论

A Rigorous Approach to Specify System Behavior for Fault Diagnosis

A Rigorous Approach to Specify System Behavior for Fault Dia...

引用

international conference on Computer Research and Development (ICCRD)

作者： Fei Gao Xiaolei Cui Jia Shi Fangfang Cao Wanbing Ding Department of System Software Research Beijing Aerospace Automatic Control Institute BeiJing China

ISBN: (数字)9798331531881

ISBN: (纸本)9798331531898

In this paper, we provide an attempt on specifying faulty behavior of autonomous systems, and the rigorous verification using formal methods. Faulty behaviors modeled in this method can enhance the capability to detect complex, time-related system faulty behaviors for fault diagnosis. Faulty behaviors modeled by temporal facts, which act as the bridge between diagnosis software and the formalized verification of the specification, can be interpreted in temporal logic formulas to capture the intended time-related system requirement. We use model checking technique to verify the correctness of the fault models expressed by temporal facts. Fault models are not specified in a formal form; therefore, the domain experts can focus on the issues in the business domain when they try to specify system faulty behaviors. In practice, we build a fault diagnosis system based on temporal facts, and employ model checking to automatically verify the intended behavior of system fault. The verifiable fault models provide the domain expert a rigorous and reliable approach to specify system behaviors.

关键词： Fault diagnosis Computational modeling Semantics Model checking System recovery Software Logic complex systems Research and development Testing

来源：评论

学校读者我要写书评

暂无评论

Collaborative Optimization Algorithm of Deep Learning and Compliant control in Online Trajectory Planning

Collaborative Optimization Algorithm of Deep Learning and Co...

引用

international conference on Communication systems and Network Technologies (CSNT)

作者： Junting Liao Chunjian Zhao Hui Xie School of Computer and Artificial Intelligence Xiangnan University Chenzhou China China Telecom Hunan Chenzhou Branch Chenzhou China

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

With the rapid development of robotics and automation, online trajectory planning faces problems such as poor adaptability to dynamic environments and low computational efficiency. This study aims to propose a collaborative optimization algorithm that combines deep learning and compliant control to improve the efficiency and accuracy of online trajectory planning. First, CNN is used for feature extraction and a prediction model is established. Then a compliant control strategy is designed to deal with dynamic obstacles to ensure the flexibility and stability of the robot in trajectory planning. The trained CNN model is then used to generate real-time trajectory predictions. The robot motion is adjusted through a fuzzy logic controller to optimize the relative position of the trajectory and obstacles. The average obstacle avoidance success rate of the algorithm in dynamic environments reaches 97%. The collaborative optimization algorithm of deep learning and compliant control effectively improves the real-time and accuracy of online trajectory planning, providing a new solution for the application of intelligent robots in complex environments.

关键词： Deep learning Trajectory planning Heuristic algorithms Collaboration Predictive models Prediction algorithms Real-time systems Trajectory Convolutional neural networks Optimization

来源：评论

学校读者我要写书评

暂无评论

Integration and Application of Artificial Intelligence and Virtual Reality Technology in Garden Planning

Integration and Application of Artificial Intelligence and V...

引用

Electronics, Energy systems and Power Engineering (EESPE), IEEE international conference on

作者： Xiongyaxiang Zhang Sichuan International Vocational College of Arts and Design Chengdu Sichuan China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

With the acceleration of urbanization, garden planning is facing increasingly complex design needs. While traditional design methods meet the requirements of personalization and efficiency, they often have problems such as information asymmetry and long design cycle, resulting in a gap between planning effects and actual needs. In order to solve these problems, this study proposes a garden planning fusion application solution based on artificial intelligence and virtual reality technology, aiming to improve the effect and efficiency of garden planning through intelligent design and immersive experience. Firstly, a convolutional neural network (CNN) based on deep learning is used to automatically analyze and recognize patterns in image data used in garden design. Big data technology is used to conduct in-depth mining of garden historical data, geographic information, and ecological environment, providing accurate basic information for garden design. Finally, virtual reality technology (VR) is used to create an immersive garden design model, which is visualized through a virtual reality platform. Designers can adjust the design plan in real time and perform interactive operations in the virtual environment. The experimental results show that in the design efficiency evaluation, the complex projects (projects 7-9) were reduced from 19.91 hours to 12.01 hours, saving about 39.7 %. In the evaluation of creative expression and innovation, the creativity score based on CNN and VR was 8.39, and the innovation score was 8.66. In the evaluation of scene adaptability and function optimization, the scores based on CNN and VR were 8.66 and 8.48 respectively. In the above data conclusion, the design method combining CNN and VR has significant advantages in improving the efficiency, innovation and adaptability of garden design.

关键词： Technological innovation Solid modeling Accuracy Design methodology Virtual environments Virtual reality Planning Convolutional neural networks Artificial intelligence Creativity

来源：评论

学校读者我要写书评

暂无评论

Multi-objective Optimization and Dynamic Water Level Regulation Algorithms a case study of the US Great Lakes system

Multi-objective Optimization and Dynamic Water Level Regulat...

引用

international conference on Big Data and Smart Computing (BIGCOMP)

作者： Junlin Zeng Tao Wang Yinhao Wang Xiaogang Pan College of Systems Engineering National University of Defense Technology Changsha China

ISBN: (数字)9798331529024

ISBN: (纸本)9798331529031

Global water resource management, particularly for large lakes, faces significant challenges in balancing ecological, economic, and flood control needs. Current methods struggle to address the diverse demands of stakeholders due to the complex hydrological and environmental factors involved. This paper proposes a solution using a multi-objective optimization model combined with dynamic feedback control. By applying hierarchical analysis (AHP), we assign stakeholder demand weights and develop a real-time water level prediction model using particle swarm optimization (PSO) with a shrinkage factor. The system also incorporates multidimensional feedback control via a spatio-temporal dynamic network to regulate water levels in real-time based on predictive data. Validation using the Great Lakes’ hydrological data from 2000 to 2022 shows the model’s effectiveness in handling environmental changes and maintaining water stability. The model proves to be a robust and practical tool for large-scale water resource management.

关键词： Heuristic algorithms Biological system modeling Predictive models Dynamic scheduling Stability analysis Regulation Real-time systems Feedback control Stakeholders Water resources

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500页 << < 7 8 9 10 11 12 13 14 15 16 > >>

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：