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

388 篇 会议
307 篇 期刊文献

馆藏范围

695 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

486 篇 工学
- 155 篇 计算机科学与技术...
- 152 篇 控制科学与工程
- 151 篇 软件工程
- 109 篇 化学工程与技术
- 77 篇 机械工程
- 42 篇 仪器科学与技术
- 38 篇 动力工程及工程热...
- 35 篇 电气工程
- 31 篇 电子科学与技术（可...
- 26 篇 信息与通信工程
- 25 篇 公安技术
- 22 篇 生物工程
- 21 篇 环境科学与工程（可...
- 20 篇 生物医学工程（可授...
- 13 篇 材料科学与工程（可...
- 12 篇 力学（可授工学、理...
- 12 篇 冶金工程
- 11 篇 石油与天然气工程
258 篇 理学
- 141 篇 数学
- 82 篇 系统科学
- 62 篇 化学
- 49 篇 统计学（可授理学、...
- 34 篇 物理学
- 20 篇 生物学
105 篇 管理学
- 91 篇 管理科学与工程(可...
- 19 篇 工商管理
- 13 篇 图书情报与档案管...
24 篇 医学
- 15 篇 临床医学
- 14 篇 基础医学(可授医学...
21 篇 经济学
- 20 篇 应用经济学
5 篇 农学
4 篇 法学
2 篇 军事学
1 篇 文学

主题

46 篇 optimization
21 篇 fault detection
21 篇 multi-agent syst...
20 篇 networked contro...
17 篇 switches
17 篇 process monitori...
16 篇 stability analys...
16 篇 topology
14 篇 synchronization
13 篇 sliding mode con...
12 篇 electroencephalo...
12 篇 monitoring
12 篇 heuristic algori...
11 篇 feature extracti...
11 篇 uncertainty
10 篇 neural networks
10 篇 brain computer i...
10 篇 mathematical mod...
10 篇 principal compon...
9 篇 eigenvalues and ...

机构

148 篇 key laboratory o...
75 篇 key laboratory o...
49 篇 key laboratory o...
40 篇 key laboratory o...
34 篇 key laboratory o...
23 篇 school of inform...
20 篇 key laboratory o...
18 篇 key laboratory o...
17 篇 key laboratory o...
15 篇 key laboratory o...
14 篇 the key laborato...
14 篇 department of co...
10 篇 shanghai institu...
10 篇 key laboratory o...
9 篇 department of au...
8 篇 center of electr...
8 篇 school of mechat...
8 篇 key laboratory o...
8 篇 key laboratory o...
8 篇 east china unive...

作者

59 篇 qian feng
52 篇 feng qian
35 篇 hongbo shi
33 篇 yugang niu
29 篇 huaicheng yan
29 篇 xingyu wang
24 篇 wenli du
24 篇 du wenli
23 篇 hao zhang
21 篇 钱锋
20 篇 yang tang
19 篇 wangli he
18 篇 jing jin
18 篇 tang yang
18 篇 wen yang
17 篇 shi hongbo
17 篇 yuanyuan zou
17 篇 bei wang
15 篇 niu yugang
14 篇 wang xingyu

语言

616 篇 英文
72 篇 中文
7 篇 其他

检索条件"机构=Key Laboratory of Advanced Control and Optimization for Chemical Process"

共 695 条记录，以下是151-160 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：

Graph-based semisupervised learning for icing fault detection of wind turbine blade

Graph-based semisupervised learning for icing fault detectio...

引用

作者： Yi, Huaikuan Jiang, Qinchao Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China

The detection of blade icing faults in wind farms is an important task in improving the reliability and safety of wind power systems. Detection is primarily achieved through supervised learning, using labeled samples. However, labeling a large volume of data often consumes lots of manpower, which means that semisupervised learning is usually required. This study proposes a graph-based semisupervised learning system to achieve efficient fault detection in wind turbines (WTs). The proposed method detects abnormal samples by optimizing a small amount of labeled and a large amount of unlabeled data. Firstly, feature selection based on mutual information is performed on supervisory control and data acquisition data, so as to eliminate redundant variables. Secondly, a graph is constructed, using the limited labeled data to indicate the connections between samples. Finally, the initial class information is propagated to the entire data set by iteratively updating the input of the graph model. Experimental results based on a selection of benchmark data sets and real WT data demonstrate the feasibility of the proposed method. © 2020 IOP Publishing Ltd.

关键词： Wind turbines

来源：评论

学校读者我要写书评

暂无评论

A class of nonlinear discrete-time system adaptive control based on second level multiple models 36

A class of nonlinear discrete-time system adaptive control b...

引用

第36届中国控制会议

作者： Yong Chen Xin Wang Zhenlei Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Center of Electrical and Electronic Technology Shanghai Jiao Tong University

ISBN: (纸本)9781538629185

Using multiple models to deal with transients for adaptive systems which is large parametric uncertainties was introduced in the 1990 *** common method is using switching ***,these methods has some potential *** this paper,a new multiple models scheme is proposed for a class strict-feedback nonlinear discrete-time ***,we use feedback linearization and backstepping method to develop adaptive indirect schemes with an observer-based identifier to ***,we design a controller based on the convex hull of parameter *** the number of necessary models is less than switching scheme,and can use the information of all identification ***,simulation have demonstrated that this method is effectively to a class of strict-feedback nonlinear discrete-time system.

关键词： convex hull multiple models backstepping nonlinear system strict-feedback

来源：评论

学校读者我要写书评

暂无评论

Localization with a mobile anchor using ABC-GA hybrid algorithm in wireless sensor networks

Localization with a mobile anchor using ABC-GA hybrid algori...

引用

International Workshop on advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011

作者： Li, Sijin Qi, Rongbin Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

Nodes localization plays an important role in applications of wireless sensor networks. In this paper, a localization scheme with a mobile anchor using a hybrid algorithm (ABC-GA) which combines artificial bee colony (ABC) algorithm with the advantages of genetic algorithm (GA) is proposed. The localization scheme determines location of unknown node by the mobile anchor;it has high accuracy without any additional requirements for the hardware of unknown node. The core problem of the scheme is finding the shortest path to traversal all unknown nodes. We use ABC-GA hybrid algorithm to solve this problem. Simulation results show that ABC-GA hybrid algorithm has high convergence rate and strong global search capability and the accuracy of localization scheme is satisfactory.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Real time optimization of the gasoline blending process with unscented Kalman filter

Real time optimization of the gasoline blending process with...

引用

2011 International Conference on Internet Computing and Information Services, ICICIS 2011

作者： Cheng, Hui Zhong, Weimin Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

ISBN: (纸本)9780769545394

Gasoline blending is a critical process in petroleum refineries. Real-time optimization (RTO) techniques have been popular with the applications for the blending process for optimization purpose. However the dependency of RTO on the measurement of the component impairs its applicability. Therefore how to utilize the blending model and the product measurement to free RTO from the component measurement is the major research topic in this paper. Unscented Kalman Filter, due to its ability to estimate the parameter for nonlinear model, is chosen to estimate component properties based on the product measurement. The RTO strategy is then proposed with the UKF method for the recipe calculation periodically. Furthermore, the proposed RTO is tested with the gasoline blending benchmark problem, while the results are compared with the ideal blending case. The accuracy of the component estimation and the efficiency of the RTO are verified with the results. © 2011 IEEE.

关键词： Blending

来源：评论

学校读者我要写书评

暂无评论

Dynamic multi-objective optimization of chemical processes using modified Bare-bones MOPSO algorithm 3

Dynamic multi-objective optimization of chemical processes u...

引用

3rd International Workshop on advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013

作者： Wang, Shan-Shan Du, Wen-Li Chen, Xu Qian, Feng East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai200237 China

Dynamic multi-objective optimization is a complex and difficult research topic of process systems engineering. In this paper, a modified Bare-bones MOPSO algorithm is proposed that takes advantage of few parameters of bare-bones algorithm. To avoid premature convergence, Gaussian mutation is introduced;and an adaptive sampling distribution strategy is also used to improve the exploratory capability. Moreover, a circular crowded sorting approach is adopted to improve the uniformity of the population distribution. Finally, by combining the algorithm with control vector parameterization, an approach is proposed to solve the dynamic optimization problems of chemical processes. It is proved that the new algorithm performs better compared with other classic multi-objective optimization algorithms through the results of solving three dynamic optimization problems.

关键词： Bone

来源：评论

学校读者我要写书评

暂无评论

Specific index-related process monitoring using a two-step information extraction method 30

Specific index-related process monitoring using a two-step i...

引用

30th Chinese control and Decision Conference, CCDC 2018

作者： Zhao, Bo Song, Bing Tan, Shuai Shi, Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China

ISBN: (纸本)9781538612439

Specific index-related process monitoring covers a wide range of requirements from industrial production. At present, it is still a challenge to divide into the specific index-related information and the specific index-unrelated information more accurately. In this paper, a two-step information extraction method is presented to solve this problem. In the first step, the overall process variables are separated into a strongly related variable set and a weakly related variable set. In the second step, the two sets are further divided into a specific index-related subset and a specific index-unrelated subset, respectively. Two specific index-related subsets form a new subspace related to the specific index. Two specific index-unrelated subsets are combined into a specific index-unrelated subspace. Two T2 statistics are built in the specific index-related subspace and the specific index-unrelated subspace, respectively. Finally, the proposed method is applied for Tennessee Eastman (TE). The results indicate the effectiveness of the proposed method. © 2018 IEEE.

关键词： Indexes Information retrieval Monitoring Principal component analysis Correlation coefficient Correlation Fault detection

来源：评论

学校读者我要写书评

暂无评论

An improved particle swarm algorithm based on cultural algorithm for constrained optimization

An improved particle swarm algorithm based on cultural algor...

引用

作者： Wang, Lina Cao, Cuiwen Xu, Zhenhao Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai 200237 China

ISBN: (纸本)9783642277078

This paper develops an improved particle swarm optimization algorithm based on cultural algorithm for constrained optimization problems. Firstly, chaos method is utilized in the initialization process of single swarm in population space to assure the searching breadth, and evolves with standard particle swarm optimization (PSO). Secondly, fixed proportion elites are selected from population space to construct the swarm of belief space through acceptance function. Then, the belief space updates its normative knowledge and situational knowledge according to the elite particles, and the elite-swarm in the belief space performs PSO operation according to the update knowledge and generates new particles. After that, the belief space renews the knowledge again, and passes down the new knowledge which has been updated twice to give better guidance to all the particles in the population space. The efficiency of the initialization strategy and the double evolving knowledge strategy are verified in six constrained optimization problems. © 2012 Springer-Verlag GmbH Berlin Heidelberg.

关键词： Constrained optimization

来源：评论

学校读者我要写书评

暂无评论

An improved particle swarm optimization algorithm based on two kinds of chaotic maps 3

An improved particle swarm optimization algorithm based on t...

引用

3rd International Workshop on advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013

作者： Li, MingHao Wang, XueWu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China

Particle swarm optimization algorithm tends to fall into local optimum sometimes. To resolve this problem, an improved particle swarm optimization algorithm based on two kinds of different chaotic maps is proposed. The algorithm produces primitive chaotic particle swarm using the uniform distribution of Tent map and improves the diversity of search. When the particle swarm evolves to a local optimum, the chaotic mutation operator produced by Logistic map is adopted to form a disturbance on the swarm to drive particle swarm jump out of local optimum and approach the global optimum. Meanwhile, an adaptive inertia weight factor is introduced to adjust particles inertia weight factor adaptively, which forms a new 2-chaotic maps embedded adaptive particle swarm optimization algorithm (2-CMEAPSO) that can fully utilize the randomness and ergodicity of the chaotic motion to enhance optimization capability. Experimental results show that the improved algorithm can efficiently overcome the premature of standard particle swarm optimization algorithm. Besides, it has stronger global optimization ability and higher accuracy than the basic particle swarm optimization algorithm.

关键词： Global optimization

来源：评论

学校读者我要写书评

暂无评论

Fault diagnosis of CTA hydrogenation process based on KPCA 3

Fault diagnosis of CTA hydrogenation process based on KPCA

引用

3rd International Workshop on advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013

作者： Li, Bo Li, Zhi Luo, Na Zhong, Weimin East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai200237 China

As the large amounts of operate data collected from Distributed control System (DCS) often contain outliers and these data are more complexity and nonlinearity. They can't be used directly to model, optimization and fault diagnosis. In fault diagnosis, the existence of outliers can destroy the covariance structure of Kernel Principal Component Analysis (KPCA), which cause the model can't really reflect the actual normal condition. In this paper, KPCA method is adopted to establish the normal statistic monitor model from the historical data which can represent the normal industrial operate condition. First, the outlier detection algorithm is used to eliminate outliers among normal work condition. Then the primary statistic model for fault diagnosis of the Squared Prediction Error (SPE) and T2 are established according to the data exclude outliers. The effectiveness of this fault diagnosis is demonstrated by the operate data of industrial Crude Terephthalic Acid (CTA) hydrogenation process, and simulation results show that this method can identify the industrial failure condition.

关键词： Failure analysis

来源：评论

学校读者我要写书评

暂无评论

Locust behaved particle swarm optimization technique 3

Locust behaved particle swarm optimization technique

引用

3rd International Workshop on advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013

作者： Zhong, Wei-Min Xie, Xue-Qin Liang, Yi Luo, Na Zhang, Juan Qian, Feng East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai200237 China

The collective behavior of certain animals and insects has the characteristic of self-organization. The simple interactions among individuals can produce complex adaptive patterns at the level of the group. Recently, new scientific investigation pointed out that desert locusts show extreme phenotypic plasticity in transforming between the lonely phase and the swarming gregarious phase depending on the population density, which is controlled by a serotonin called 5-hydroxytryptamine. In this paper, based on the mechanism of the locusts' collective behavior, a new particle swarm optimization technique called LBPSO is studied. The number of swarms is self-adaptively adjusted by the acquired outstanding particles coming from behind the previous global best solution. The swarm sizes are related to the corresponding serotonin 5-hydroxytryptamine which is determined by the optimization parameters such as global best, iteration number etc. And each swarm adopts one of three rules below according to its density, generalized social evolution strategy, generalized cognition evolution strategy and the independent moving strategy. A comparative study of LBPSO, SPSO, Improved SPSO and the original PSO on their ability of tracking optima is carried out. And the results under four static benchmark functions and a dynamic function generator MPB show that LBPSO outperforms the other three functions in both static and dynamic landscapes due to the introduced locusts' collective behavior.

关键词： Iterative methods

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70页 << < 12 13 14 15 16 17 18 19 20 21 > >>

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：