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

530 篇 会议
17 篇 期刊文献

馆藏范围

547 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

418 篇 工学
- 298 篇 计算机科学与技术...
- 275 篇 控制科学与工程
- 116 篇 软件工程
- 67 篇 电气工程
- 45 篇 机械工程
- 24 篇 交通运输工程
- 22 篇 信息与通信工程
- 21 篇 生物工程
- 12 篇 力学（可授工学、理...
- 12 篇 化学工程与技术
- 11 篇 生物医学工程（可授...
- 10 篇 安全科学与工程
- 8 篇 航空宇航科学与技...
- 7 篇 材料科学与工程（可...
- 7 篇 动力工程及工程热...
- 7 篇 土木工程
- 6 篇 仪器科学与技术
100 篇 理学
- 59 篇 数学
- 35 篇 系统科学
- 25 篇 生物学
- 19 篇 统计学（可授理学、...
- 13 篇 物理学
- 10 篇 化学
76 篇 管理学
- 68 篇 管理科学与工程(可...
- 16 篇 工商管理
- 12 篇 图书情报与档案管...
17 篇 教育学
- 17 篇 教育学
12 篇 医学
- 8 篇 基础医学(可授医学...
9 篇 文学
- 9 篇 外国语言文学
8 篇 法学
- 8 篇 社会学
4 篇 经济学
1 篇 农学

主题

61 篇 reinforcement le...
22 篇 machine learning
19 篇 vehicle dynamics
18 篇 control systems
16 篇 deep learning
16 篇 neural networks
16 篇 heuristic algori...
13 篇 optimal control
13 篇 adaptation model...
11 篇 model predictive...
10 篇 stability analys...
10 篇 decision making
10 篇 deep reinforceme...
10 篇 training
9 篇 predictive model...
9 篇 real-time system...
9 篇 mathematical mod...
9 篇 dynamics
9 篇 data models
9 篇 quality control

机构

5 篇 univ oxford dept...
5 篇 carnegie mellon ...
4 篇 carnegie mellon ...
3 篇 univ sheffield d...
3 篇 indian inst tech...
3 篇 univ washington ...
3 篇 univ calif berke...
2 篇 stevens inst tec...
2 篇 nit jamshedpur j...
2 篇 centers for dise...
2 篇 hong kong univ s...
2 篇 school of transp...
2 篇 xuhai college ch...
2 篇 rhein westfal th...
2 篇 univ chinese aca...
2 篇 univ michigan de...
2 篇 chinese univ hon...
2 篇 school of inform...
2 篇 school of inform...
2 篇 school of mathem...

作者

5 篇 trimpe sebastian
3 篇 kumar shashi ran...
3 篇 drummond ross
3 篇 rubaai ahmed
3 篇 abate alessandro
2 篇 roussias l.
2 篇 qu guannan
2 篇 cannon mark
2 篇 tahir fadhil r.
2 篇 roberts p.d.
2 篇 beraha d.
2 篇 tilki umut
2 篇 mao weichao
2 篇 limbert david e.
2 篇 yang heng
2 篇 liu yang
2 篇 jutan a.
2 篇 xu jie
2 篇 hsieh m. ani
2 篇 yang yang

语言

530 篇 英文
17 篇 其他

检索条件"任意字段=6th Annual Learning for Dynamics and Control Conference"

共 547 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 the 6th annual learning for dynamics and control conference, L4DC 2024

Proceedings of the 6th Annual Learning for Dynamics and Cont...

引用

6th annual learning for dynamics and control conference, L4DC 2024

the proceedings contain 139 papers. the topics discussed include: multi-agent assignment via state augmented reinforcement learning;learning flow functions of spiking systems;continual learning of multi-modal dynamics with external memory;CACTO-SL: using Sobolev learning to improve continuous actor-critic with trajectory optimization;finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning;from raw data to safety: reducing conservatism by set expansion;an investigation of time reversal symmetry in reinforcement learning;PDE control Gym: a benchmark for data-driven boundary control of partial differential equations;and real-world fluid directed rigid body control via deep reinforcement learning.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Deep learning based Air Quality Forecasting using Satellite Data 6

Deep Learning based Air Quality Forecasting using Satellite ...

引用

6th International conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Sree, K. Navya Reddy, Mancharla Rakesh Saraswathi, S. Department of Computer Science and Engineering Specialization with AI & ML Sathyabama Institute of Science and Technology Chennai India Department Computer science and engineering Sathyabama Institute of Science and Technology Chennai India

ISBN: (纸本)9798331522667

Air pollution is a significant threat to human health and the environment. Accurate air quality forecasting is essential for effective mitigation strategies, including public health advisories, emission control measures, and policy interventions. this research focuses on the development of an advanced air quality forecasting system using machine learning techniques. the system uses historical data on pollutants such as PM2.5, NO2, and O3, along with meteorological parameters, to predict future air quality levels. the model is enhanced with the inclusion of sophisticated machine learning algorithms to better capture the intricate spatiotemporal patterns and enhance the accuracy of forecasting. the system may potentially provide real-time air quality forecasts that enable proactive measures for protecting public health and inform decisions for environmental policy. this research contributes to sustainable and resilient urban environments by providing valuable insights into air quality dynamics and supporting effective air pollution mitigation strategies. © 2025 IEEE.

关键词： air pollution Air quality forecasts cardiovascular diseases data-driven strategies environmental policy global climate international collaboration machine learning NO2 O3 PM2.5 policy-making pollution mitigation proactive alerts public health real-time monitoring respiratory diseases spatial variability temporal variability transboundary pollution

来源：评论

学校读者我要写书评

暂无评论

Hybrid offshore wind turbines: control-oriented modeling approaches 6th

Hybrid offshore wind turbines: Control-oriented modeling app...

引用

6th International conference on Renewable Energies Offshore, RENEW 2024

作者： Ahmad, I. M’zoughi, F. Aboutalebi, P. Garrido, I. Garrido, A.J. Automatic Control Group—ACG Institute of Research and Development of Processes—IIDP Department of Automatic Control and Systems Engineering Engineering School of Bilbao—EIB/BIE Faculty of Engineering of Bilbao—EIB/BIE University of the Basque Country—UPV/EHU Bilbao Spain

ISBN: (纸本)9781032905570

In the pursuit of sustainable electricity generation from offshore wind and wave energy, the combination of Floating Offshore Wind Turbines (FOWTs) and Oscillating Water Columns (OWCs) has emerged as a promising solution to enhance the working lifespan of this kind of systems. this study introduces a control-focused modeling approach, using empirical data collected from the widely accepted FAST environment, to implement advanced control laws for these integrated platforms. Leveraging Long Short-Term Memory (LSTM) and Artificial Neural Networks (ANN), the research yields predictive models that effectively capture the platform pitch dynamics so as to optimize control strategies. By integrating advanced machine learning techniques, these approaches address the challenges of modeling floating offshore structures in dynamic environments. In this sense, the neuro-estimators developed in this study closely match the original plant results, offering researchers a straightforward way to implement complex control schemes that could hardly be implemented over the original non-linear system. © 2025 the Author(s).

关键词： Offshore wind turbines

来源：评论

学校读者我要写书评

暂无评论

6th Grabchenko’s International conference on Advanced Manufacturing Processes, InterPartner 2024

6th Grabchenko’s International Conference on Advanced Manuf...

引用

6th Grabchenko’s International conference on Advanced Manufacturing Processes, InterPartner 2024

ISBN: (纸本)9783031827457

the proceedings contain 73 papers. the special focus in this conference is on Advanced Manufacturing Processes. the topics include: Economic Justification of High-Rotational Submersible Pumps Development for Water Supply Facilities;analysis of Power Consumption of a Wheeled Robot Actuated by a Centrifugal Vibration Exciter;development of a Six-Spindle Turret Head of a Multioperational Machine with a Modernized Drive;composite Impeller for Centrifugal Compressors;increasing the Service Life of the Pressure Block of the Planetary Hydraulic Motor;the Concept of Digital Description of Structural Elements of Technical Systems;optimal Geometrical Dimensions of Drainless Vortex Chamber Ejector of Homogeneous Medium;efficiency Improvement of the Jet-Slit Homogenizer in the Food Engineering;substantiation of the Spring-Cam Retarder Brake Design and Its Main Parameters Determination;application of Modified Kinematic Graphs to Analyze the Structures of Passive Relaxation Shock Absorbers;the Impact of the dynamics of Multi-spindle Finishing Boring Machines on the Machining Accuracy;a Combined Approach for Determining Tool Cutting Part States Using Machine learning Models;increasing the Accuracy of Part Obtained by Selective Laser Sintering by Shrinkage Compensation;A Simulation Study of DDMRP and MRP Manufacturing Planning and control Systems;analysis of the Surface Layer of Aluminium Alloy Castings at their Machining by the Surface Homogeneity Criterion;Strain in ANSYS Simulation and Real Testing;using Plasma Coatings to Increase Equipment Reliability at Agribusiness Enterprises;vacuum Technology for Magnesium Alloys During Die Casting of Radiators;reliability Prediction for Robotic Machines with Parallel Kinematics;study of the Roughness of A36 Steel with TiAlN Coated Inserts.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Deep learning Based Air Quality Forecasting Using Satellite Data

Deep Learning Based Air Quality Forecasting Using Satellite ...

引用

Mobile Computing and Sustainable Informatics (ICMCSI), International conference on

作者： K Navya Sree Mancharla Rakesh Reddy Saraswathi. S Department of Computer science and engineering Specialization with AI & ML Sathyabama Institute of Science and Technology Chennai India Department Computer science and engineering Sathyabama Institute of Science and Technology Chennai India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522674

关键词： Accuracy Atmospheric measurements Prevention and mitigation Urban areas Weather forecasting Air pollution Pollution measurement Forecasting Public healthcare Diseases

来源：评论

学校读者我要写书评

暂无评论

A Data-driven Riccati Equation 6

A Data-driven Riccati Equation

引用

6th annual learning for dynamics and control conference

作者： Rantzer, Anders Lund Univ Lund Sweden

Certainty equivalence adaptive controllers are analysed using a "data-driven Riccati equation", corresponding to the model-free Bellman equation used in Q-learning. the equation depends quadratically on data correlation matrices. this makes it possible to derive simple sufficient conditions for stability and robustness to unmodeled dynamics in adaptive systems. the paper is concluded by short remarks on how the bounds can be used to quantify the interplay between excitation levels and robustness to unmodeled dynamics.

关键词： dual control adaptive control online learning linear quadratic control

来源：评论

学校读者我要写书评

暂无评论

Data-Driven Bifurcation Analysis via learning of Homeomorphism 6

Data-Driven Bifurcation Analysis via Learning of Homeomorphi...

引用

6th annual learning for dynamics and control conference

作者： Tang, Wentao North Carolina State Univ Dept Chem & Biomol Engn Raleigh NC 27695 USA

this work proposes a data-driven approach for bifurcation analysis in nonlinear systems when the governing differential equations are not available. Specifically, regularized regression with barrier terms is used to learn a homeomorphism that transforms the underlying system to a reference linear dynamics - either an explicit reference model with desired qualitative behavior, or Koopman eigenfunctions that are identified from some system data under a reference parameter value. When such a homeomorphism fails to be constructed with low error, bifurcation phenomenon is detected. A case study is performed on a planar numerical example where a pitchfork bifurcation exists.

关键词： Bifurcation Nonlinear dynamics Conjugacy Koopman Eigenfunctions

来源：评论

学校读者我要写书评

暂无评论

Convergence guarantees for adaptive model predictive control with kinky inference 6

Convergence guarantees for adaptive model predictive control...

引用

6th annual learning for dynamics and control conference

作者： Zuliani, Riccardo Soloperto, Raffaele Lygeros, John Swiss Fed Inst Technol Automat Control Lab Zurich Switzerland

We analyze the convergence properties of a robust adaptive model predictive control algorithm used to control an unknown nonlinear system. We show that by employing a standard quadratic stabilizing cost function, and by recursively updating the nominal model through kinky inference, the resulting controller ensures convergence of the true system to the origin, despite the presence of model uncertainty. We illustrate our theoretical findings through a numerical simulation.

关键词： Adaptive model predictive control adaptive control kinky inference

来源：评论

学校读者我要写书评

暂无评论

Safe learning in Nonlinear Model Predictive control 6

Safe Learning in Nonlinear Model Predictive Control

引用

6th annual learning for dynamics and control conference

作者： Buerger, Johannes Cannon, Mark Doff-Sotta, Martin BMW Grp Munich Germany Univ Oxford Dept Engn Sci Oxford England

A robust Model Predictive control algorithm is proposed for learning-based control with model represented by an affine combination of basis functions. the online optimization is formulated as a sequence of convex programming problems derived by linearizing concave components of the dynamic model. A tube-based approach ensures satisfaction of constraints on control variables and model states while avoiding conservative bounds on linearization errors. the linear dependence of the model on unknown parameters is exploited to allow safe online parameter adaptation. the resulting algorithm is recursively feasible and provides closed loop stability and performance guarantees. Numerical examples are provided to illustrate the approach.

关键词： Nonlinear predictive control convex programming adaptive control learning control

来源：评论

学校读者我要写书评

暂无评论

An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems 6

An efficient data-based off-policy Q-learning algorithm for ...

引用

6th annual learning for dynamics and control conference

作者： Alsalti, Mohammad Lopez, Victor G. Mueller, Matthias A. Leibniz Univ Hannover Inst Automat Control D-30167 Hannover Germany

In this paper, we present a Q-learning algorithm to solve the optimal output regulation problem for discrete-time LTI systems. this off-policy algorithm only relies on using persistently exciting input-output data, measured offline. No model knowledge or state measurements are needed and the obtained optimal policy only uses past input-output information. Moreover, our formulation of the proposed algorithm renders it computationally efficient. We provide conditions that guarantee the convergence of the algorithm to the optimal solution. Finally, the performance of our method is compared to existing algorithms in the literature.

关键词： Data-based control optimal output regulation Q-learning reinforcement learning

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55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：