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

1,508 篇 会议
1,441 篇 期刊文献

馆藏范围

2,949 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,995 篇 工学
- 762 篇 计算机科学与技术...
- 715 篇 软件工程
- 674 篇 控制科学与工程
- 388 篇 机械工程
- 335 篇 电气工程
- 228 篇 化学工程与技术
- 175 篇 信息与通信工程
- 170 篇 电子科学与技术（可...
- 168 篇 动力工程及工程热...
- 158 篇 仪器科学与技术
- 140 篇 生物工程
- 127 篇 材料科学与工程（可...
- 125 篇 交通运输工程
- 95 篇 生物医学工程（可授...
- 89 篇 力学（可授工学、理...
- 88 篇 光学工程
- 83 篇 环境科学与工程（可...
- 75 篇 冶金工程
- 66 篇 土木工程
- 66 篇 安全科学与工程
1,084 篇 理学
- 516 篇 数学
- 271 篇 物理学
- 228 篇 系统科学
- 193 篇 化学
- 175 篇 生物学
- 163 篇 统计学（可授理学、...
437 篇 管理学
- 387 篇 管理科学与工程(可...
- 105 篇 工商管理
115 篇 医学
- 85 篇 临床医学
- 69 篇 基础医学(可授医学...
64 篇 经济学
60 篇 法学
49 篇 农学
12 篇 艺术学
9 篇 文学
6 篇 教育学
6 篇 军事学

主题

46 篇 feature extracti...
43 篇 optimization
43 篇 training
39 篇 deep learning
37 篇 neural networks
35 篇 reinforcement le...
32 篇 machine learning
31 篇 stability analys...
31 篇 trajectory
31 篇 robustness
30 篇 robots
30 篇 uncertainty
30 篇 nonlinear system...
29 篇 three-dimensiona...
29 篇 computational mo...
29 篇 mathematical mod...
29 篇 transportation
29 篇 heuristic algori...
28 篇 accuracy
28 篇 optimal control

机构

215 篇 state key labora...
159 篇 state key labora...
105 篇 university of ch...
104 篇 state key labora...
103 篇 the state key la...
84 篇 state key labora...
78 篇 school of automa...
75 篇 school of artifi...
64 篇 state key labora...
57 篇 the state key la...
52 篇 ieee
50 篇 school of automa...
50 篇 state key labora...
49 篇 qingdao academy ...
39 篇 huzhou institute...
35 篇 huzhou institute...
35 篇 state key labora...
34 篇 state key labora...
33 篇 the state key la...
32 篇 state key labora...

作者

103 篇 fei-yue wang
91 篇 hongye su
69 篇 gao fei
61 篇 wang fei-yue
58 篇 xu chao
56 篇 su hongye
51 篇 wang yue
51 篇 gang xiong
49 篇 xiong rong
43 篇 zhitao liu
33 篇 xiong gang
30 篇 lei xie
29 篇 jian chu
29 篇 zhihuan song
27 篇 fei gao
27 篇 chao xu
27 篇 qinglai wei
25 篇 weimin wu
25 篇 rong xiong
24 篇 zhen shen

语言

2,747 篇 英文
103 篇 中文
95 篇 其他

检索条件"机构=Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology"

共 2949 条记录，以下是2841-2850 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：

Nonlinear Model Predictive control with the Integration of Support Vector Machine and Extremal optimization

Nonlinear Model Predictive Control with the Integration of S...

引用

The 8th World Congress on Intelligent control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Peng Chen Yong-Zai Lu Department of Automation Shanghai Jiaotong University Shanghai 200240 P.R.China State Key Laboratory of Industrial Control Technology & Institute of Cyber-Systems and Control Zheji

In nonlinear model predictive control (NMPC), the system performance is greatly dependent upon the accuracy of the predictive model and the efficiency of the online optimization algorithm. In this paper, a novel NMPC scheme with the integration of Support Vector Machine (SVM) and recently proposed general-purpose heuristic “Extremal Optimization (EO)” is presented. With the superior features of self-organized criticality (SOC), non-equilibrium dynamics, coevolutions in statistical mechanics and ecosystems respectively, a carefully designed EO based on “horizon based mutation strategy” is used as an online solver to obtain optimal future control inputs of NMPC, in which a multi-step-ahead SVM predictive model is employed. Furthermore, simulation studies on a typical nonlinear system are given to illustrate the effectiveness of the proposed control scheme.

关键词： Predictive models Optimization Support vector machines Predictive control Computational modeling Biological system modeling

来源：评论

学校读者我要写书评

暂无评论

Robust ℋ221E;control of networked control systems with access constraints and packet dropouts

Robust ℋ221E;control of networked control systems with acce...

引用

International Conference on Green Circuits and systems (ICGCS)

作者： Dongxiao Wu Jun Wu Sheng Chen State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China School of Electronics and Computer Science University of Southampton Southampton UK

We consider a class of networked control systems (NCSs) where the plant has time-varying norm-bounded parameter uncertainties, the network only provides a limited number of simultaneous accesses for the sensors and actuators, and the packet dropouts occur randomly in the network. For this class of NCSs with uncertainties and access constraints as well as packet dropouts, we derive sufficient conditions in the form of linear matrix inequalities that guarantee robust stochastic stabilisation and synthesis of ℋ ∞ controller. An example is provided to illustrate our proposed method.

关键词： Robustness Networked control systems Time varying systems Uncertain systems Sensor systems Actuators Uncertainty Sufficient conditions Linear matrix inequalities Robust control

来源：评论

学校读者我要写书评

暂无评论

Mining Fuzzy Association Rules in Data Streams

Mining Fuzzy Association Rules in Data Streams

引用

2010 2nd International Conference on Computer Engineering and technology(2010年第二届计算机工程与技术国际会议 ICCET 2010)

作者： Peng Chen Hongye Su Lichao Guo Yu Qu State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityHangzhouP. R. China

ISBN: (纸本)9781424463473;9781424463497;9781424463503

Many algorithms have been proposed for mining fuzzy association rules in static datasets with quantitative attributes. However,there is few study on mining fuzzy association rules in data streams. This paper presents an algorithm FFI_Stream for fuzzy association rules mining in data streams. Efficient techniques are presented to find fuzzy association rules in data streams using time based sliding window model. The clustering technique is used to find the fuzzy sets. Membership Function Bias measure (MFB_measure) is introduced to evaluate the membership function in each sliding window. Selectively Updating Mechanism (SUM) and Projected Summaries (PS) are proposed to update the fuzzy sets dynamically. Then, experiments are carried out on both synthetic and real life datasets. The results show that the algorithm is effective and efficient.

关键词： Fuzzy association rules mining:data stream change detection:membership function:sliding window

来源：评论

学校读者我要写书评

暂无评论

Parameter-dependent controller design for electro-hydraulic servo system

Parameter-dependent controller design for electro-hydraulic ...

引用

International Conference on Intelligent control and Information Processing (ICICIP)

作者： Falu Weng Weijie Mao Bo Liang Jiangxi University of Science and Technology Jiangxi China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China AQSIQ Information center BeiJing China

This paper is concerned with the problem of robust controller design for electro-hydraulic servo systems driven by double-rod hydraulic actuators. Firstly, by introducing a linear varying parameter, an electro hydraulic servo system is described as a linear parameter varying(LPV) model. Secondly, based on this LPV model and a parameter-dependent Lyapunov approach, two parameter-dependent controllers are established for the stabilization and tracking problems, respectively. The obtained controllers are simple and their gains can vary with the parameter measured online. Finally, the numerical simulations demonstrate the satisfactory performance of the proposed controllers.

关键词： Robustness Servomotors Symmetric matrices Valves Mathematical model Adaptation model Numerical models

来源：评论

学校读者我要写书评

暂无评论

Global-Local Structure Analysis for Fault Detection

Global-Local Structure Analysis for Fault Detection

引用

2010 49th IEEE Conference on Decision and control

作者： Ruowei Fu Muguang Zhang Zhihuan Song Zhiqiang Ge State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 Zhejiang China State Key Laboratory of Industrial Control Technology Ningbo Institute of Technology Zhejiang University Ningbo 315100 China

ISBN: (纸本)9781424477456

In this paper a new dimensionality reduction technique named global-local structure analysis (GLSA) is proposed. It constructs a dual-objective optimization function, which exploits the underlying geometrical manifold and keeps the global information for dimensionality reduction simultaneously. This combines the advantages of locality preserving projections (LPP) and principal component analysis (PCA) under a unified framework. Besides, GLSA successfully avoids the singularity problem in LPP and shares the orthogonal property with PCA. A further contribution of this paper is to propose a strategy for determining the parameter eta which is used to balance the subobjectives corresponding to global and local structure preservings. For fault detection purpose, two traditional statistics T~(2) and SPE are constructed based on the new proposed GLSA method. Case studies on a numerical example and Tennessee Eastman process demonstrate the efficiencies of GLSA in feature extraction and fault detection.

关键词： Defect detection structured analysis dimensionality reduction numerical example Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Dynamic Optimization of Multivariable Endothermic Reaction in Cascade CSTR

Dynamic Optimization of Multivariable Endothermic Reaction i...

引用

The 8th World Congress on Intelligent control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Yang Chen Zhijiang Shao Jixin Qian Kexin Wang Zhiliang Zhan Zuhua Xu State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou Zhejiang China

The dynamic optimization problem of a multivariable endothermic reaction in cascade continuous stirred tank reactors is solved with simultaneous method in this paper. Radau collocation is applied in discretization because of its stiff decay and high precision. A two-layer optimization is presented to get a fast convergence rate when dealing with the nonlinear case. In the industry process, the load variation may be very large and may cause output variable's big overshoot. In order to reduce the overshoot, a segmentation load variation method is introduced. The good results of this nonlinear ordinary differential equations system show the validity of these methods.

关键词： Optimization Load management Cooling Chemical reactors Steady-state Biological system modeling Nonlinear dynamical systems

来源：评论

学校读者我要写书评

暂无评论

Adaptive Local Weighted Kernel-based Regression for Online Modeling of Batch Processes

Adaptive Local Weighted Kernel-based Regression for Online M...

引用

2010 IEEE International Conference on Intelligent Computing and Intelligent systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

作者： Haiqing Wang Zhihuan Song Kun Chen Jun Ji Yi Liu State Key Laboratory of Industrial Control Technology Institute of Industrial Process ControlZhejia Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou P

Fed-batch processes are inherently more difficult to characterize than continuous processes due to the variations under different operation stages, drifting and small-sample condition. The classical kernel-based regression (KR) methods, e.g., least squares support vector regression (LSSVR), aim to achieve a universal generalization performance, which may fail in some local regions when applied to batch process modeling. Local LSSVR model which only uses the neighbors of the query instance helps improve the accuracy, but it generally leads to a heavy computation load. Inspired by the idea of universal and local learning simultaneously, an adaptive local weighted kernel-based regression (ALWKR) method is proposed. That is. adaptive weights are assigned to corresponding samples based on the similarity measurement, followed by a recursive updating to obtain local models. This ALW-KR framework is applied to the prediction of biomass concentration in the penicillin fed-batch process. The experimental results show that the proposed ALWKR model could predict the biomass concentration more accurate and robust to batch-to-batch variation than traditional KR methods.

关键词： kernel-based regression adaptive local weight similarity index recursive updating fed-atch process modeling

来源：评论

学校读者我要写书评

暂无评论

Probabilistic process monitoring with Bayesian regularization

Probabilistic process monitoring with Bayesian regularizatio...

引用

American control Conference

作者： Muguang Zhang Zhiqiang Ge Zhihuan Song State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 Zhejiang China

ISBN: (纸本)9781424474264

To monitor industrial processes through a probabilistic manner, the probabilistic principal component analysis (PPCA) method has recently been introduced. However, PPCA has its inherent limitation that it cannot determine the effective dimensionality of latent variables. This paper intends to introduce a Bayesian treatment upon the traditional principal component analysis method for process monitoring, which can automatically determine the effective number of retained principal components. Thus, a Bayesian principal component analysis based monitoring approach is developed. A case study of the Tennessee Eastman (TE) benchmark process shows the feasibility and efficiency of the proposed method.

关键词： Process monitoring Probabilistic Process Bayesian inference industrial processes component analysis

来源：评论

学校读者我要写书评

暂无评论

Adaptive Least Contribution Elimination Kernel Learning Approach for Rubber Mixing Soft-sensing Modeling

Adaptive Least Contribution Elimination Kernel Learning Appr...

引用

2010 IEEE International Conference on Intelligent Computing and Intelligent systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

作者： Yan-chen Gao Jun Ji Hai-qing Wang Ping Li State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou P.R.China

Rubber mixing process is a typical nonlinear fed-batch process without well developed mechanism. Soft-sensing modeling of the mixture's Mooney viscosity is crucial and challenging since this index is an important process criterion to judge the quality of rubber compounds while the measurement of Mooney viscosity is time-consuming and laborious to assay. Furthermore, the mixing process is drifting and volatile even noisy;only few data samples could be used to modeling. In present paper, an adaptive least contribution elimination kernel learning (ALCEKL) approach is proposed to predict the Mooney viscosity. It adopts a sparsity strategy of least contribution elimination and presents a buffer based learning algorithm associated with improved space angle index (SAI) strategy. Experiments on field data indicate that proposed approach is more robust and accurate than other kernelized modeling methods with feasible computational complexity under field circumstances.

关键词： component kernel learning rubber mixing softsensor Mooney viscosity ALCEKL

来源：评论

学校读者我要写书评

暂无评论

Free-tagging methods for opinion analysis of online news comments

Free-tagging methods for opinion analysis of online news com...

引用

2010 8th IEEE International Conference on control and Automation, ICCA 2010

作者： Zhao, Changwei Liu, Heng Peng, Qinke Yang, Ying State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an China School of Electronic and Information Engineering Henan University of Science and Technology Luoyang China National key Laboratory of Electromechanical Engineerning and Control Xi'an Institute of Electrical and Information Technology Xi'an China

ISBN: (纸本)9781424451951

To overcome challenges of processing timeliness and changeful topics when analyzing opinions of online news comments, free-tagging methods including two steps, object identification and polarity analysis, are proposed in this paper. In the first step, from news text, we employ the Affinity Propagation Cluster (APC) to extract key sentences whose name entities will be identified and their specified types will be identified as comment objects. After identifying comment objects, the method of distance-weight count of polarized words and semantic rules are used to determine the polarity of comments. Our method does not require labeled corpus, therefore it can reduce artificial workloads and avoid problems of non-versatility caused by changeful topics of comments. Experiment results show that our method is capable of identifying objects and polarity of online news comments with higher precision and wide coverage rate, and can satisfy the requirements of online news comments analysis. © 2010 IEEE.

关键词： Semantics

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295页 << < 281 282 283 284 285 286 287 288 289 290 > >>

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：