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

474 篇 会议

馆藏范围

474 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

361 篇 工学
- 245 篇 计算机科学与技术...
- 180 篇 电气工程
- 156 篇 控制科学与工程
- 41 篇 软件工程
- 11 篇 机械工程
- 11 篇 生物医学工程（可授...
- 10 篇 信息与通信工程
- 10 篇 生物工程
- 9 篇 仪器科学与技术
- 9 篇 动力工程及工程热...
- 8 篇 交通运输工程
- 6 篇 安全科学与工程
- 6 篇 网络空间安全
- 4 篇 土木工程
- 3 篇 力学（可授工学、理...
- 3 篇 冶金工程
- 3 篇 电子科学与技术（可...
- 3 篇 建筑学
- 3 篇 石油与天然气工程
- 3 篇 航空宇航科学与技...
138 篇 理学
- 101 篇 系统科学
- 33 篇 数学
- 12 篇 生物学
- 9 篇 统计学（可授理学、...
- 8 篇 化学
- 6 篇 物理学
21 篇 管理学
- 19 篇 管理科学与工程(可...
- 10 篇 图书情报与档案管...
- 5 篇 工商管理
5 篇 医学
- 5 篇 临床医学
2 篇 经济学
2 篇 法学
2 篇 教育学
1 篇 军事学

主题

47 篇 iterative learni...
41 篇 mathematical mod...
31 篇 data models
23 篇 convergence
23 篇 control systems
23 篇 nonlinear system...
22 篇 trajectory
16 篇 predictive model...
16 篇 fault detection
16 篇 adaptation model...
15 篇 deep learning
14 篇 uncertainty
14 篇 training
13 篇 reinforcement le...
13 篇 closed loop syst...
13 篇 adaptive control
12 篇 optimization
12 篇 heuristic algori...
11 篇 stability analys...
11 篇 feature extracti...

机构

10 篇 qingdao univ sci...
7 篇 north china univ...
6 篇 qingdao univ sci...
6 篇 beijing key lab ...
5 篇 beijing univ che...
5 篇 beijing jiaotong...
4 篇 beijing inst tec...
4 篇 qingdao univ sci...
4 篇 zhejiang univ te...
3 篇 qingdao univ sci...
3 篇 college of contr...
3 篇 school of automa...
3 篇 nankai univ coll...
3 篇 research center ...
3 篇 school of mathem...
3 篇 jiangnan univ sc...
3 篇 school of electr...
3 篇 jiangnan univ in...
3 篇 qingdao univ sci...
3 篇 changchun univer...

作者

10 篇 chi ronghu
8 篇 ronghu chi
8 篇 hou zhongsheng
7 篇 zhongsheng hou
6 篇 liu yang
6 篇 wang li
6 篇 li wang
5 篇 liu keping
5 篇 deqing huang
5 篇 lu renquan
5 篇 zhihuan song
5 篇 ren hongru
5 篇 sun zhongbo
5 篇 huang deqing
5 篇 zhang ruikun
4 篇 xingping liu
4 篇 su hongye
4 篇 xie lei
4 篇 song zhihuan
4 篇 liu yi

语言

460 篇 英文
9 篇 中文
5 篇 其他

检索条件"任意字段=7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018"

共 474 条记录，以下是271-280 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：

High-Order Distributed Consensus in Multi-Agent Networks

High-Order Distributed Consensus in Multi-Agent Networks

引用

data driven control and learning systems (ddcls)

作者： Zunshui Cheng Tiansun Wang Youming Xin School of Mathematics and Physics Qingdao University of Science and Technology Qingdao China

ISBN: (纸本)9781538626191

We deal with high-order distributed consensus protocols in multi agent networks. It is shown that the inner coupling strengths play a key role in reaching consensus for high-order systems. Scheme for choosing coupling strengths is derived for the third-order consensus and the fourth-order consensus. We found that high-order consensus can not be achieved even if inner coupling strengths are very large when they are selected incorrectly. the high-order consensus of complex networks are particularly targeted. this result helps investigate large scale multi-agent networks.

关键词： Couplings Multi-agent systems Eigenvalues and eigenfunctions Complex networks Acceleration

来源：评论

学校读者我要写书评

暂无评论

Iterative learning Identification for Discrete Parabolic Distributed Parameter systems

Iterative Learning Identification for Discrete Parabolic Dis...

引用

data driven control and learning systems (ddcls)

作者： Lanlan Liu Xisheng Dai Xingyu Zhou Shali Yu School of Electrical and Information Engineering Guangxi University of Science and Technology Liuzhou P. R. China Guangzhou college of South China University of Technology Guangzhou P. R. China

ISBN: (纸本)9781538626191

this paper presents an iterative learning identification scheme for discrete parabolic distributed parameter systems with unknown curve surface parameters. the method achieves identification through iterative learning control concepts, a P-type learning identification controller is employed to estimate the spatial-temporal varying curve surface iteratively. then, the sufficient convergence conditions for identification error in the sense of L 2 norm has been presented through rigorous analysis. In the end, numerical simulations are shown to illustrate the effectiveness of the proposed learning identification algorithm.

关键词： Distributed parameter systems Time-varying systems Iterative methods Convergence Mathematical model Aerospace engineering

来源：评论

学校读者我要写书评

暂无评论

State Feedback control of Upper-triangular Stochastic Time-delay systems

State Feedback Control of Upper-triangular Stochastic Time-d...

引用

data driven control and learning systems (ddcls)

作者： Liang Liu Jing Wang College of Engineering Bohai University Jinzhou P. R. China

ISBN: (纸本)9781538626191

this paper deals with the state feedback stabilization problem for a class of upper-triangular stochastic time-delay systems. By adopting a series of coordinate transformation, the original system is firstly transformed into an equivalent one with a designed parameter. On the basis of homogeneous domination approach and stochastic time-delay system stability theory, by suitable choosing a Lyapunov-Krasoviskii functional (LKF) and the designed parameter, the state feedback controller is constructed and guaranteed that the closed-loop system is globally asymptotically stable in probability (GASiP). the efficiency of the proposed controller is verified by a simulation example.

关键词： State feedback Stochastic systems Closed loop systems Asymptotic stability Stability analysis Delays

来源：评论

学校读者我要写书评

暂无评论

Distributed data-driven engine framework facing CPS brain-inspired intelligent transportation 23

Distributed data-driven engine framework facing CPS brain-in...

引用

23rd ieee International conference on High Performance Computing and Communications, 7th ieee International conference on data Science and systems, 19th ieee International conference on Smart City and 7th ieee International conference on Dependability in Sensor, Cloud and Big data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Yang, Zhengzhuang Xu, Mingyue Zhao, Kaidi Yang, Chao Zhi, Huiyu Zhang, Xihou Chen, Zhuoran Qiu, Song Han, Dingding School of Information Science and Technology Fudan University Shanghai China School of Communication and Electronic Engineering East China Normal University Shanghai China

ISBN: (纸本)9781665494571

Single data source, isolated data islands and low information utilization in intelligent transportation lead to the poor inversion of the cyber space to the physical space including Incomplete data integration, high interdependency of systems and poor anti-control ability. In this paper the data-driven method is adopted to optimize the W parameter in Webster method to reduce the waiting time of vehicles to realize the traffic congestion. In particular, a multi-source heterogeneous data processing method and a unified modeling of the multi-dimensional and multi-layer networks have been introduced. By data-driven engine, we have implemented both massive storage and fast processing system. We have also build a service system which can rapidly realize data integration and services delivery as well as be directly called by researchers from the database through network requests to reduce the data reprocessing. this paper also produces the data interaction process of the data engine framework in traffic management and control, and proposes a solution for the use of massive city data. © 2021 ieee.

关键词： Smart cities Soft sensors Transportation data integration Process control Distributed databases data models

来源：评论

学校读者我要写书评

暂无评论

Reliable control of Nonlinear System with Input Saturation by Adaptive Iterative learning control

Reliable Control of Nonlinear System with Input Saturation b...

引用

data driven control and learning systems (ddcls)

作者： Ruikun Zhang Ronghu Chi Big Data Research Center of School of Mathematics and Physics Qingdao University of Science and Technology Qingdao China School of Automation and Electronics Engineering Qingdao University of Science and Technology Qingdao China

ISBN: (纸本)9781538626191

In this paper, reliable control strategy is studied for nonlinear system with input saturation by adaptive iterative learning control. the system dynamic function is described by a class of nonlinearly parameterized functions with input saturation and actuator faults. In order to address nonlinearity of system, input saturation and the actuator fault term, we design the adaptive iterative learning reliable controller (AILRC), which is a feedback P-type ILC controller. Based on the constructed composite energy function (CEF) and some necessary assumptions, the convergence analysis is given, which shows that the system tracking error converges to zero when the iteration number tends to infinity. Finally, simulation is given to illustrate the correctness of the proposed AILRC.

关键词： Actuators Reliability Iterative learning control Convergence Nonlinear systems Adaptive systems

来源：评论

学校读者我要写书评

暂无评论

A New Least Squares Iterative Estimation Algorithm for CARAR systems

A New Least Squares Iterative Estimation Algorithm for CARAR...

引用

ieee data driven control and learning systems conference

作者： Lijuan Wan Chunping Chen Yan Ji College of Automation and Electronic Engineering Qingdao University of Science and Technology Editorial Office of Journal of Qingdao University of Science and Technology (Natural Science Edition) Qingdao University of Science and Technology

ISBN: (纸本)9781538626191

Mathematical models are the base for the system analysis and the controller design. this paper focuses on the identification problems of controlled autoregressive models with autoregressive noise (CARAR system for short). By applying the iterative method and the hierarchical principle, a least squares identification algorithm is investigated. the key of this algorithm is replacing the unknown noise terms in the information vector with their estimated residuals. the effectiveness of this approach is demonstrated by the simulation experiment.

关键词： Least squares Iterative identification Hierarchical principle Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

Point-to-Point Iterative learning control Based on Updating Reference Trajectory with Constrained Input

Point-to-Point Iterative Learning Control Based on Updating ...

引用

data driven control and learning systems (ddcls)

作者： Xiangfeng Shen Zhihua Xiong Yingdong Hong Department of Automation Tsinghua University Beijing China

ISBN: (纸本)9781538626191

the point-to-point tracking control method under constrained input is proposed by using updating-reference and an integrated predictive iterative learning control strategy. A reference trajectory through the desired key points is adopted and updated batch-to-batch, and then the whole system is described as 2D model. By using the integrated predictive ILC, the control method can depress effectively disturbances. For the constrained input, its convex set is abstracted and the procedure of calculating the constrained input is presented in detail. Comparing with gradient based point-to-point control algorithms, updating- reference relaxes the output constraints and the proposed algorithm can lead to faster convergence. Simulation results of a numerical model have demonstrated the effectiveness of the proposed method.

关键词： Trajectory Iterative learning control Prediction algorithms Two dimensional displays Convergence Approximation algorithms Mathematical model

来源：评论

学校读者我要写书评

暂无评论

Iterative learning Consensus for Discrete-time Multi-Agent systems with Measurement Saturation and Random Noises

Iterative Learning Consensus for Discrete-time Multi-Agent S...

引用

data driven control and learning systems (ddcls)

作者： Chen Liu Dong Shen College of Information Science and Technology Beijing University of Chemical Technology Beijing P.R. China

ISBN: (纸本)9781538626191

this paper investigates the consensus tracking problem for a class of multi-agent systems with measurement saturation and random noises. A distributed iterative learning control algorithm is proposed by utilizing the input signals and the measured output information from previous iterations. the considered multi-agent systems have a fixed topology of the communication graph and the desired trajectory is only accessible to a subset of agents. With the help of a decreasing gain sequence, it is proved that the input sequence will converge to the desired one in an almost sure sense as the iteration number goes to infinity. Simulation results are given to verify the effectiveness of the proposed algorithm.

关键词： Convergence Noise measurement Trajectory Multi-agent systems Iterative learning control Task analysis Sensors

来源：评论

学校读者我要写书评

暂无评论

Model Free Adaptive Predictive Perimeter control for an Urban Traffic Network

Model Free Adaptive Predictive Perimeter Control for an Urba...

引用

data driven control and learning systems (ddcls)

作者： Chunye Xu Shangtai Jin Ye Ren Zhongsheng Hou Danwei Wang Advanced Control Systems Lab Beijing Jiaotong University Beijing China School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781538626191

Most exiting macroscopic fundamental diagram (MFD) based perimeter control methods are regarded as model-based feedback control methods, whose performance is hard to improve in practice due to the fact that traffic flow model is complex and has uncertainties. In this paper, a model free adaptive predictive perimeter control strategy is proposed for an urban traffic network. the control performance is improved by virtue of the prediction data model derived by dynamic linearization technique. the effectiveness of the proposed perimeter control algorithm is verified by comparing with the traditional PID controller in the simulation section.

关键词： Roads Adaptation models Predictive models Mathematical model Predictive control Adaptive systems control systems

来源：评论

学校读者我要写书评

暂无评论

Power Management of Battery Energy Storage System Using Model Free Adaptive control

Power Management of Battery Energy Storage System Using Mode...

引用

data driven control and learning systems (ddcls)

作者： Weiming Zhang Dezhi Xu Xuyang Lou Wenxu Yan Weilin Yang School of Internet of Things Engineering Jiangnan University Wuxi Jiangsu Province China

ISBN: (纸本)9781538626191

A novel adaptive control strategy based on input/output (I/O) data is proposed in this paper to solve the problem of power management of battery energy storage system (BESS). In the proposed control strategy, a time-varying parameter named pseudo-partial derivative (PPD) parameter utilized in dynamic linearization is estimated by an adaptive observer. Besides, the input saturation problem is considered and a compensation signal is added to consummate the anti-windup control algorithm. Finally, simulation results are presented to validate the effectiveness and performance of the proposed control strategy.

关键词： Batteries Mathematical model Power generation Integrated circuit modeling Adaptation models Adaptive control

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48页 << < 24 25 26 27 28 29 30 31 32 33 > >>

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：