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

358 篇 会议
1 篇 期刊文献

馆藏范围

359 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

331 篇 工学
- 209 篇 控制科学与工程
- 164 篇 计算机科学与技术...
- 139 篇 软件工程
- 41 篇 电气工程
- 38 篇 生物工程
- 34 篇 机械工程
- 30 篇 信息与通信工程
- 25 篇 电子科学与技术（可...
- 20 篇 交通运输工程
- 18 篇 生物医学工程（可授...
- 17 篇 化学工程与技术
- 16 篇 动力工程及工程热...
- 12 篇 航空宇航科学与技...
- 11 篇 力学（可授工学、理...
- 9 篇 材料科学与工程（可...
- 9 篇 冶金工程
- 7 篇 建筑学
210 篇 理学
- 146 篇 数学
- 60 篇 系统科学
- 51 篇 统计学（可授理学、...
- 39 篇 生物学
- 20 篇 物理学
- 14 篇 化学
38 篇 管理学
- 21 篇 图书情报与档案管...
- 19 篇 管理科学与工程(可...
- 7 篇 工商管理
12 篇 医学
- 12 篇 临床医学
- 11 篇 基础医学(可授医学...
- 10 篇 药学(可授医学、理...
9 篇 法学
- 6 篇 法学
6 篇 农学
3 篇 教育学
1 篇 经济学

主题

13 篇 reinforcement le...
12 篇 multi agent syst...
8 篇 deep learning
7 篇 failure analysis
7 篇 generative adver...
7 篇 machine learning
6 篇 lyapunov functio...
5 篇 time delay
5 篇 sliding mode con...
5 篇 state estimation
5 篇 predictive contr...
5 篇 controllers
4 篇 learning systems
4 篇 cyber physical s...
4 篇 anomaly detectio...
4 篇 defects
4 篇 neural networks
4 篇 iterative method...
4 篇 process control
4 篇 predictive model...

机构

6 篇 college of contr...
5 篇 college of artif...
5 篇 university of ch...
5 篇 college of infor...
4 篇 school of electr...
4 篇 school of electr...
4 篇 school of intell...
4 篇 college of infor...
4 篇 school of electr...
3 篇 school of inform...
3 篇 center for robot...
3 篇 school of inform...
3 篇 college of engin...
3 篇 school of mathem...
3 篇 kunming universi...
3 篇 engineering rese...
3 篇 institute of com...
3 篇 school of automa...
3 篇 control and simu...
3 篇 qingdao univ sci...

作者

10 篇 huang deqing
6 篇 chi ronghu
5 篇 li xiangyang
5 篇 ai wei
5 篇 chen zengqiang
5 篇 yang ying
5 篇 sun mingwei
5 篇 lu renquan
5 篇 ren hongru
4 篇 jiao xuguo
4 篇 liu xia
4 篇 liu yan
4 篇 yao wenlong
4 篇 liu shida
4 篇 ge zhiqiang
4 篇 yu wei
4 篇 wang yu
4 篇 wang xin
4 篇 hou zhongsheng
4 篇 liu shan

语言

350 篇 英文
9 篇 其他

检索条件"任意字段=10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021"

共 359 条记录，以下是201-210 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：

data-driven-based Predictive Optimal for a class of Iterative learning control by Q-learning method 12

Data-driven-based Predictive Optimal for a class of Iterativ...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Li, Jinze Tian, Senping Peng, Yunjian Gu, Panpan South China Univ Technol Sch Automat Sci & Engn Guangzhou 510640 Peoples R China Hefei Univ Technol Sch Elect Engn & Automat Hefei 230009 Peoples R China

ISBN: (纸本)9798350321050

the paper investigates predictive optimal for P-type iterative learning control (ILC) under unknown system's dynamic. First, with an Delta u(k+1)-based discounted linear quadratic cost function of control errors in ILC, we formulate the predictive optimal problem for P-type ILC and present a solution for such a problem in a discrete algebraic Riccati equation (DARE) with known system's dynamic, by which a predictive optimal algorithm can be established. Second, a reinforcement Q-learning method is proposed to find predictive optimal solution for P-type ILC under unknown system's dynamic, which is intended to develop a model-free and iterative learning algorithm to implement ILC with a higher convergence speed only by utilizing the input and output data of ILC. Based on the performance function, a Q-function is elaborately chosen in an iterative formulation with trials of Delta u(k+1) and control errors for critic P-type ILC performance with its updated converge rated. third, the convergence of the algorithm is proved and discussed with it conditions. Last, an illustrative digital simulation at MATLAB verifies the effectiveness of the proposed algorithm and shows its advantages over the traditional method.

关键词： Iterative learning control Predictive optimal Reinforcement Q-learning data-driven adaptive optimal

来源：评论

学校读者我要写书评

暂无评论

data driven Strip Crown Prediction for a Hot Strip Rolling Mill Process 12

Data Driven Strip Crown Prediction for a Hot Strip Rolling M...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Zhang, Yanyan Zhang, Kai Yang, Pengcheng Peng, Kaixiang Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China Minist Educ Key Lab Knowledge Automat Ind Proc Beijing 100083 Peoples R China

ISBN: (纸本)9798350321050

Due to the difficulty in strip crown prediction caused by multivariable, nonlinear and strong coupling in the hot strip rolling mill (HSRM) process, this paper proposes a strip crown prediction model based on support vector regression (SVR), and uses sparrow search algorithm (SSA) to optimize the parameter C and. of the model, so as to improve the generalization ability of the prediction model. the overall performance of the model is evaluated by mean square error (MSE), mean absolute error (MAE), mean absolute percentage error (MAPE) and correlation coefficient ( R2). It shows that the prediction accuracy and generalization ability of the proposed model are better than the traditional methods. the proposed SSA-SVR model in this paper is successfully applied to the crown prediction of the 2150 production line of Ansteel company. the performance shows that the method can be efficient to predict the steel crown in a real HSRM process.

关键词： Strip crown hot strip rolling mill process support vector regression sparrow search algorithm prediction

来源：评论

学校读者我要写书评

暂无评论

Anti-sway control for Bulk Terminal Gantry Cranes Based on MFAC 12

Anti-sway Control for Bulk Terminal Gantry Cranes Based on M...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Liu, Wangwang Yao, Wenlong Chi, Ronghu Mu, Chenglin Qingdao Univ Sci & Technol Coll Automat & Elect Engn Qingdao 266100 Peoples R China

ISBN: (纸本)9798350321050

To address the problem of lifting weight sway generated by underactuated gantry cranes during operation, considering the load diversity of the portal machine and other disturbance effects, this paper proposes a control method that does not rely on an exact model. Firstly, a simple kinematic model of the gantry cranes is established and dynamically analyzed, then a compact form dynamic linearization is performed to obtain the data model, a pseudo-partial derivative estimation law is computed online, a model-free adaptive control based gantry cranes anti-sway controller is designed, and finally a simulation analysis is performed. the simulation results show that the load swing angle amplitude is effectively suppressed and quickly dissipated, while it has strong robustness to external unknown disturbances. Compared with the PID control simulation analysis, this control algorithm has more effective anti-sway control effect and can reach the stable state faster.

关键词： Gantry cranes Model-free adaptive control Underactuated system Anti-sway Disturbance

来源：评论

学校读者我要写书评

暂无评论

Event-Triggered Mechanism-Based Adaptive Cooperative Tracking control for MHSTs System with Uncertain Dynamics 12

Event-Triggered Mechanism-Based Adaptive Cooperative Trackin...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Zhang, Yusha Ma, Junjie Huang, Deqing Wu, Yue Wang, Jiaxin Southwest Jiaotong Univ Sch Elect Engn Chengdu 611756 Peoples R China

ISBN: (纸本)9798350321050

this paper focuses on the adaptive event-triggered cooperative tracking control problem for multiple high-speed trains (MHSTs) system. A new adaptive cooperative tracking control protocol is presented based on the multi-agent system (MAS) concept and the event-triggered control theory. Firstly, to build a refined train dynamical model, the uncertain nonlinear resistances are approximated by a fuzzy logic system. Moreover, a distributed sliding-mode estimator is used to estimate the states of the leader train to obtain the system errors to perform the subsequent backstepping control design. In the event-triggered mechanism, the controller updates are triggered only when the measurement error exceeds a specified threshold, which can reduce the waste of computation resources and the overuse of actuators. It is demonstrated that all signals in the MHSTs system are ultimately bounded. Finally, a simulation example is provided to validate the effectiveness of the proposed event-triggered control methods.

关键词： Cooperative tracking control multiple high-speed trains (MHSTs) sliding-mode estimator backstepping control event-triggered mechanism

来源：评论

学校读者我要写书评

暂无评论

Adaptive repetitive control for a class of uncertain nonlinear systems with input delay 12

Adaptive repetitive control for a class of uncertain nonline...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Sun, Yongbo Zhou, Lan Li, Chengyang Yang, Qin Xiao, Wenbin Hunan Univ Sci & Technol Sch Mech Engn Xiangtan 411201 Peoples R China Hunan Univ Sci & Technol Sch Informat & Elect Engn Xiangtan 411201 Peoples R China

ISBN: (纸本)9798350321050

An adaptive repetitive control method is presented in this paper for a class of uncertain nonlinear systems with input delay and mismatched disturbances. the original tracking problem of the uncertain nonlinear system is divided into two subproblems: repetitive control problem of a primary linear time-invariant (LTI) system and robust stabilization problem of a secondary nonlinear system with input delay and mismatched disturbances. Repetitive control is used in the primary LTI system to handle the periodic signal, where a slight correction to amount of the time delay of the repetitive controller is introduced, leading to a significant improvement in steady-state tracking performance. Adaptive backstepping control is used in the secondary nonlinear system to deal with structural uncertainties and external disturbances, where an integral term is used to handle the timedelay input, and a first-order linear filter is used to estimate the derivative of the virtual control input. Both the controller design procedure and the stability criteria are provided. Simulation results demonstrate that the proposed control strategy has satisfactory tracking and disturbance-rejection performance.

关键词： Adaptive Repetitive control Additive State Decomposition Mismatched Disturbances Input Delay

来源：评论

学校读者我要写书评

暂无评论

A data-driven Physical Mechanism Modeling Method for the Spin-Exchange Relaxation-Free Comagnetometer 12

A Data-driven Physical Mechanism Modeling Method for the Spi...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Li, Feng Wang, Zhuo Zhang, Min Wang, Ruigang Qin, Bodong Chai, Yanchao Beihang Univ Sch Instrumentat Sci & Optoelect Engn Beijing 100191 Peoples R China Beihang Univ Zhejiang Prov Key Lab Ultra Weak Magnet Field Spa Hangzhou Innovat Inst Hangzhou 310051 Peoples R China

ISBN: (纸本)9798350321050

the Spin-Exchange Relaxation-Free Comagnetometer (SERFCM) is a new quantum instrument with ultra-high accuracy. Normally, the atomic ensembles of SERFCM operate in an open-loop state, which is not conducive to long-term highprecision measurements. In order to realize closed-loop control of its atomic polarization state, it is necessary to model and analyze the dynamic characteristics of the SERFCM system. In this paper, a data-driven physical mechanism (DDPM) modeling method is proposed to realize the modeling of the SERFCM, a multi-input multi-output system. First, the state space equations of the SERFCM are established based on the Bloch equation, which are transformed into a discrete transfer function matrix. then, based on the criterion of least variance in estimation, we realize the modeling of the discrete transfer function matrix using the excitation input data, the measured output data, and the estimated output data. Finally, the simulation results of modeling under different longitudinal magnetic fields confirm the validity of the proposed method. this work enables the online modeling of SERFCM system and facilitates the analysis of the effects of various parameters on the dynamic characteristics.

关键词： Spin-Exchange Relaxation-Free Comagnetometer data-driven Physical Mechanism Modeling

来源：评论

学校读者我要写书评

暂无评论

Finite-Time Quantized Iterative learning control for Discrete Nonlinear systems 13

Finite-Time Quantized Iterative Learning Control for Discret...

引用

13th ieee data driven control and learning systems conference, ddcls 2024

作者： Cheng, Jinyao Weng, Yongpeng Chen, Hao Ma, Yongchun Li, Xin College of Marine Electrical Engineering Dalian Maritime University Dalian116026 China

ISBN: (纸本)9798350361674

In this paper, the finite-time iterative learning control problem for a class of non-affine nonlinear systems with data quantization is studied in the data-driven framework. Based on the quantized error signals, a finite time quantized iterative learning control (FQILC) scheme is proposed. the convergence of tracking error and the finiteness of the convergent iteration of FQILC scheme are analyzed. the findings demonstrate that employing the finite-time technique can decrease the required number of iterations for convergence and guarantee the boundedness of tracking error. the viability of the approach is confirmed by means of a simulation example. © 2024 ieee.

关键词： Contrastive learning

来源：评论

学校读者我要写书评

暂无评论

Time series generator adversarial network with stochastic process for the degradation generation and prediction 12

Time series generator adversarial network with stochastic pr...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Shangguan, Anqi Feng, Nan Mu, Lingxia Fei, Rong Hei, Xinhong Xie, Guo Xian Univ Technol Shaanxi Key Lab Complex Syst Control & Intelligen Xian 710048 Peoples R China Xian Univ Technol Sch Comp Sci & Engn Xian 710048 Peoples R China

ISBN: (纸本)9798350321050

Since the cumbersome collection process and high cost, the collected degradation of the product is basically small samples, which will affect the accuracy of reliability evaluation. It is necessary to expand the degradation to improve the accuracy of later reliability assessment. therefore, a degradation generation and prediction method is proposed combining the time series generator adversarial network (TimeGAN) and stochastic process. Firstly, the input degradation is expanded by the sliding window to improve the later training accuracy;then, the construction of the generator in TimeGAN is linked with the stochastic process to make the generation data more realistic. Finally, the results of degradation prediction by the Gated Recurrent Unit (GRU) can be obtained. Two datasets and different generation methods are adopted to evaluate the effectiveness of the proposed method. the results shows that the Kullback-Leibler(KL) divergence is the smallest, and the prediction error is the smallest compared with the other methods. So, the proposed method is proved that it is valid in the degradation generation and prediction, and can be used for the further reliability assessment of the product in the industrial system.

关键词： Time GAN Stochastic process Degradation generation Small samples

来源：评论

学校读者我要写书评

暂无评论

A data-driven Residual Life Prediction Method For Rolling Bearings 12

A Data-Driven Residual Life Prediction Method For Rolling Be...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Li, Shangrui Li, Meng Liu, Zhilong Li, Minggang Univ Elect Sci & Technol China Sch Automat Engn Chengdu 611730 Peoples R China Nucl Power Inst China Inst Reactor Power Engn Chengdu 610000 Peoples R China

ISBN: (纸本)9798350321050

Rolling bearing is a key component of rotating machinery, which affects the reliability of the equipment. In order to make the equipment intelligent, facilitate the maintenance of the equipment, and improve the operation efficiency of the equipment, a data-driven residual life prediction method of rolling bearing is proposed, which is used to intelligently predict the remaining service life of the equipment, providing great convenience for the maintenance of the equipment. First, wavelet packet de-noising method is used to remove the noise in the original signal, and then extract the time-domain and frequency-domain features of the de-noised signal, after that PCA is used to reduce the dimension of the feature information and fuse it into the comprehensive life characteristics of the bearing. Last, with the input of the subsequent life prediction features, the residual life prediction model based on PCA-SVR is finally constructed. the experimental results show that the residual life prediction model based on PCA-SVR has low error rate and high accuracy which can accurately predict the residual life of rolling bearings.

关键词： Support Vector Machine Residual Life Prediction Principal Component Analysis Rolling Bearing

来源：评论

学校读者我要写书评

暂无评论

Anomaly Root Cause Analysis forWind Turbines Based on Denoising Autoencoder and Sparse Estimation 12

Anomaly Root Cause Analysis forWind Turbines Based on Denois...

引用

ieee 12th data driven control and learning systems conference (ddcls)

作者： Du, Songtao Wan, Yiming Zhang, Cong Zhang, Sihang Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Beijing Inst Control Engn Beijing 100094 Peoples R China

ISBN: (纸本)9798350321050

Wind turbine condition monitoring has been extensively studied to reduce maintenance costs. Although there exist a vast amount of literature on anomaly detection for wind turbine, anomaly root cause analysis has not been fully addressed so far. To cope with this problem, we propose a denoising autoencoder (DAE) based anomaly detector and performs anomaly root cause analysis using sparse estimation. For anomaly detection, deep denoising autoencoder is learned with normal history data, with enhanced robustness compared to the conventional autoencoder. the reconstruction error from the DAE is further evaluated by the exponentially weighted moving average control chart (EWMA) to reduce the false positive rate. After anomaly detection, root cause analysis performs sparse fault estimation, with the assumption that a small number of observed variables are affected under the abnormal condition. the fault estimates are then leveraged to identify the variables most relevant to the underlying anomaly root causes. Real cases on a public dataset demonstrate the effectiveness of the proposed method.

关键词： anomaly detection root cause analysis denoising autoencoder sparse fault estimation wind turbine

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36页 << < 17 18 19 20 21 22 23 24 25 26 > >>

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：