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

716 篇 会议

馆藏范围

716 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

324 篇 工学
- 186 篇 计算机科学与技术...
- 180 篇 控制科学与工程
- 168 篇 软件工程
- 46 篇 机械工程
- 41 篇 电气工程
- 29 篇 信息与通信工程
- 26 篇 交通运输工程
- 21 篇 生物医学工程（可授...
- 16 篇 电子科学与技术（可...
- 16 篇 航空宇航科学与技...
- 14 篇 光学工程
- 13 篇 石油与天然气工程
- 11 篇 安全科学与工程
- 10 篇 动力工程及工程热...
- 10 篇 土木工程
- 10 篇 船舶与海洋工程
- 10 篇 生物工程
- 9 篇 仪器科学与技术
- 9 篇 建筑学
- 9 篇 化学工程与技术
148 篇 理学
- 83 篇 数学
- 57 篇 系统科学
- 20 篇 统计学（可授理学、...
- 17 篇 物理学
- 11 篇 生物学
28 篇 管理学
- 22 篇 管理科学与工程(可...
- 10 篇 图书情报与档案管...
- 9 篇 工商管理
9 篇 医学
- 9 篇 基础医学(可授医学...
- 9 篇 临床医学
4 篇 经济学
4 篇 教育学
4 篇 农学
3 篇 法学
2 篇 军事学
1 篇 文学

主题

179 篇 learning systems
83 篇 control systems
67 篇 accuracy
59 篇 simulation
53 篇 adaptation model...
50 篇 predictive model...
48 篇 data models
40 篇 training
36 篇 process control
34 篇 stability analys...
34 篇 heuristic algori...
32 篇 uncertainty
29 篇 neural networks
29 篇 numerical simula...
29 篇 feature extracti...
28 篇 observers
26 篇 adaptive systems
25 篇 reinforcement le...
24 篇 noise
22 篇 deep learning

机构

24 篇 school of electr...
14 篇 school of mathem...
12 篇 school of electr...
12 篇 school of automa...
11 篇 faculty of infor...
9 篇 college of contr...
9 篇 kunming universi...
9 篇 college of contr...
8 篇 college of artif...
8 篇 school of artifi...
8 篇 college of artif...
8 篇 faculty of mecha...
8 篇 beijing key labo...
8 篇 yunnan key labor...
8 篇 school of electr...
7 篇 school of automa...
7 篇 college of infor...
7 篇 state key labora...
6 篇 school of electr...
6 篇 school of automa...

作者

18 篇 wang li
18 篇 li wang
11 篇 deqing huang
11 篇 ji honghai
11 篇 liu shida
11 篇 shida liu
11 篇 honghai ji
10 篇 huang deqing
8 篇 darong huang
7 篇 xiaoli li
6 篇 kang wang
6 篇 feng li
6 篇 song zhihuan
6 篇 ruikun zhang
6 篇 zhou zhou
5 篇 ye ren
5 篇 fan lingling
5 篇 liu yang
5 篇 ren ye
5 篇 zengqiang chen

语言

632 篇 英文
84 篇 其他

检索条件"任意字段=13th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2024"

共 716 条记录，以下是1-10 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：

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

Proceedings of 2024 IEEE 13th Data Driven Control and Learni...

引用

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

ISBN: (纸本)9798350361674

the proceedings contain 379 papers. the topics discussed include: a transformer based network in monocular satellite pose estimation;controller dynamic linearization based data-driven adaptive control for a vapor-compression refrigeration system;cooperative awareness message generation interval prediction model based on Bayesian optimized long short-term memory neural network;preassigned time prescribed performance tracking control for high-order nonlinear systems with time-varying powers;gaussian reinforcement learning: optimal tracking control for uncertain linear systems;a velocity tracking method for quadruped robot with rhythm controller;model-free predictive control of hydraulic cylinder based on parameter prediction of extreme learning machine;and semi-supervised domain adaptation with feature separation for wind turbine anomaly detection.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Analysis Pipeline for High-Dimensional Neuromechanical Model Improvement 13th

Analysis Pipeline for High-Dimensional Neuromechanical Model...

引用

13th International conference on Biomimetic and Biohybrid systems, Living Machines 2024

作者： Fernandez, Camila J. McManus, Jeffrey M. Li, Yanjun Bennington, Michael J. Quinn, Roger D. Chiel, Hillel J. Webster-Wood, Victoria A. Department of Mechanical Carnegie Mellon University PittsburghPA15232 United States Department of Biomedical Engineering Carnegie Mellon University PittsburghPA15232 United States McGowan Institute for Regenerative Medicine Carnegie Mellon University PittsburghPA15232 United States Department of Biology Case Western Reserve University 10900 Euclid Ave ClevelandOH44106 United States Mechanical Engineering Case Western Reserve University 10900 Euclid Ave ClevelandOH44106 United States Neurosciences Case Western Reserve University 10900 Euclid Ave ClevelandOH44106 United States Biomedical Engineering Case Western Reserve University 10900 Euclid Ave ClevelandOH44106 United States

ISBN: (纸本)9783031725968

To capture and understand animal behavior, engineers and biologists seek to develop biologically accurate neuromechanical models of muscle dynamics and neural control. However, demand-driven enhancement of complex neuromechanics, such as the multifunctional Aplysia californica feeding apparatus, can be challenging due to the multidimensional biomechanical and neural models involved. We propose an analysis pipeline that enables reinforcement learning (RL) to classify which aspects of an engineered neuromechanical model can accurately capture animal behavior. As an example, prioritizing where demand-driven enhancement of a biomechanical and neural model is needed, the neural model of a published neuromechanical model of Aplysia swallowing during feeding was replaced with an RL controller and their performances were compared and correlated with in vivo swallowing behavior. By comparing the performance of the neural model and the learned model to in vivo animal behavior, we can pinpoint areas for improvement. the analysis pipeline identified that the neuromechanical model confidently captured force performance with no significant difference from animal swallowing force behavior. It most usefully also indicated that the biomechanical model will need to be improved in future iterations to better capture motor neuron activity. Future work should explore the accuracy of the RL-enabled analysis pipeline with a more advanced biomechanical model. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Design of data-driven Sliding Mode PID controller for Unknown Nonlinear System 13

Design of Data-driven Sliding Mode PID Controller for Unknow...

引用

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

作者： Cao, Shuang Xiong, Shuangshuang School of Automation Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9798350361674

In this article, a new data-driven adaptive sliding-mode PID control (DASPIDC) algorithm is proposed for a class of unknown nonlinear discrete systems based on full form dynamic linearization model. the designed algorithm leads to a better stability of the system. theoretical analyses demonstrate the BIBO stability of the system, simulation results verify the effectiveness and superiority of the DASPIDC algorithm. © 2024 ieee.

关键词： Sliding mode control

来源：评论

学校读者我要写书评

暂无评论

Frequency-Domain-Based Forgetting-Factor data-driven Iterative learning control Algorithm 13

Frequency-Domain-Based Forgetting-Factor Data-Driven Iterati...

引用

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

作者： Fu, Wen-Yuan Nie, Zhuoyun College of Information Science and Engineering Huaqiao University Xiamen361002 China

ISBN: (纸本)9798350361674

this paper introduces a data-driven iterative learning control (ILC) algorithm based on the forgetting factor within the frequency domain. Different from the conventional time-domain design of the forgetting factor algorithm, this approach employs an adaptive decomposition technique to construct the data model, utilizing frequency-domain sampling data of the system's input and output. Building upon this foundation, the tracking errors undergo orthogonalization to extract maximum error energy, thereby enhancing the convergence speed of the ILC. © 2024 ieee.

关键词： Adversarial machine learning

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

Iterative learning Consensus control for Continuous- Time Nonlinear Heterogeneous Switched Multi-Agent systems 13

Iterative Learning Consensus Control for Continuous- Time No...

引用

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

作者： Yang, Song Li, Xiao-Dong School of Intelligent Systems Engineering Sun Vat-sen University Shenzhen518107 China

ISBN: (纸本)9798350361674

A class of continuous-time nonlinear heterogeneous switched multi-agent systems (MASs) is considered in this research, where each agent contains a finite number of subsystems because of the switching behaviors in the dynamic models. then, we propose a distributed iterative learning control (ILC) algorithm for the leader-following consensus of the switched MASs subject to the switched dynamic models, and the control objective is to prompt all agents to follow the leader agent over a finite time interval. Finally, a convergence theorem is proposed and proved by using the contracting mapping principle, and its effectiveness is verified through a simulation. © 2024 ieee.

关键词： Continuous time systems

来源：评论

学校读者我要写书评

暂无评论

RBFNN-Based Event-Triggered data-driven Formation control for a Connected Heterogeneous Vehicle Platoon 13

RBFNN-Based Event-Triggered Data-Driven Formation Control fo...

引用

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

作者： Zhu, Panpan Jin, Shangtai Yin, Chenkun School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9798350361674

this paper presents a novel distributed data-driven control scheme for the longitudinal formation control of a connected heterogeneous vehicle (CHV) platoon. Initially, an event-triggered mechanism is devised to alleviate the computational burden on the distributed controller. Subsequently, the future pseudo-gradient (PG) vector is predicted using the radial basis function neural network (RBFNN) method, and a data-driven control scheme is developed for the coordinated formation control of the CHV platoon. Ultimately, the simulation results demonstrate that the proposed distributed RBFNN-based event-triggered data-driven control (RBFNN-ETDDC) approach effectively achieves the objective of maintaining low-spacing error formation control for the CHV platoon. © 2024 ieee.

关键词： Radial basis function networks

来源：评论

学校读者我要写书评

暂无评论

Vehicle Formation control Based on Model-Free Adaptive Iterative learning 13

Vehicle Formation Control Based on Model-Free Adaptive Itera...

引用

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

作者： Ren, Ye Xie, Yongqiang Wang, Li Ji, Honghai School of Electronics & Control Engineering North China University of Technology Beijing100043 China

ISBN: (纸本)9798350361674

In this paper, a vehicle formation control method based on model-free adaptive iterative learning is proposed for vehicles with the same turn at a road intersection. At road intersections, inconsistencies in speed and spacing between vehicles with the same turn can lead to traffic congestion. therefore, this study investigates the path planning and speed planning for vehicles with the same turn. In the case of vehicular networking, the formation control of intelligent networked vehicles with the same turn makes the vehicles travel in formation in a fast and orderly manner, thus improving the efficiency and enhancing the safety of road intersections. © 2024 ieee.

关键词： Traffic congestion

来源：评论

学校读者我要写书评

暂无评论

Adaptive Iterative learning Optimal control for Linear Multi-Agent systems 13

Adaptive Iterative Learning Optimal Control for Linear Multi...

引用

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

作者： Chang, Duhui Geng, Yan School of Science Xi'an Polytechnic University Xi'an710048 China

ISBN: (纸本)9798350361674

In order to improve tracking performance of a class of linear discrete time-invariant multi-agent systems, an adaptive optimal iterative learning control strategy is designed. To design the control protocol, a parameter adaptive algorithm is constructed to estimate the Markov parameters of the system. then, virtual leader is used instead of expected trajectory. By optimizing the index function and incorporating estimated parameters into the learning process. An adaptive iterative learning optimal control strategy is constructed. through rigorous analysis, the parameter estimation error is bounded, the tracking error is convergent, and the proof process is independent of system parameters. Finally, numerical simulations validate the effectiveness of this designed control strategy. © 2024 ieee.

关键词： Contrastive learning

来源：评论

学校读者我要写书评

暂无评论

data-driven Stealthy Sparse Attack Detection and Identification for Cyber Physical systems 13

Data-Driven Stealthy Sparse Attack Detection and Identificat...

引用

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

作者： Du, Xinyang Xi, Zhiyu School of Automation Science and Electrical Engineering Beihang University Beijing100191 China

ISBN: (纸本)9798350361674

this paper investigates the issues of attack detection and identification in Cyber-Physical systems (CPSs) under sparse sensor and actuator attacks, focusing on systems with unknown parameters. Initially, stealthy sparse attacks are formulated utilizing input-output information and subspace identification techniques, and the most destructive attacks are established based on an attack impact index. Subsequently, a data-driven attack detection strategy is proposed based on coding principles, and a Gated Transformer is employed to identify the compromised sensors and actuators. Finally, the proposed methodologies are validated through simulations on a supersonic aircraft, with the coding-based attack detector integrated on Zynq-7000 FPGA. © 2024 ieee.

关键词： Cyber attacks

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72页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：