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

300 篇 会议
30 篇 期刊文献
20 册 图书

馆藏范围

350 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

254 篇 工学
- 128 篇 控制科学与工程
- 94 篇 力学（可授工学、理...
- 82 篇 机械工程
- 26 篇 土木工程
- 21 篇 计算机科学与技术...
- 12 篇 电气工程
- 12 篇 软件工程
- 10 篇 化学工程与技术
- 7 篇 动力工程及工程热...
- 7 篇 交通运输工程
- 3 篇 电子科学与技术（可...
- 3 篇 信息与通信工程
- 2 篇 仪器科学与技术
- 2 篇 船舶与海洋工程
- 2 篇 环境科学与工程（可...
- 2 篇 生物工程
- 2 篇 安全科学与工程
- 1 篇 光学工程
- 1 篇 材料科学与工程（可...
- 1 篇 建筑学
141 篇 理学
- 113 篇 数学
- 36 篇 统计学（可授理学、...
- 34 篇 系统科学
- 28 篇 物理学
- 3 篇 化学
- 3 篇 生物学
19 篇 经济学
- 19 篇 应用经济学
8 篇 管理学
- 6 篇 管理科学与工程(可...
- 2 篇 工商管理
1 篇 历史学
- 1 篇 考古学
1 篇 农学

主题

27 篇 stochastic syste...
12 篇 vibration, dynam...
12 篇 optimal control
12 篇 nonlinear system...
11 篇 neural networks
10 篇 time delay
10 篇 control systems
10 篇 nonlinear system...
9 篇 stochastic proce...
8 篇 probability dens...
8 篇 gaussian
7 篇 classical mechan...
7 篇 nonlinear equati...
6 篇 model predictive...
6 篇 uncertainty
6 篇 nonlinear contro...
6 篇 chaos
5 篇 complex systems
5 篇 control
5 篇 optimization

机构

3 篇 zhejiang univ de...
3 篇 zhejiang univ de...
2 篇 beijing inst tec...
2 篇 phys sci inc and...
2 篇 eindhoven univ t...
2 篇 mta bme lendulet...
2 篇 mtel a.d. banja ...
2 篇 chongqing academ...
2 篇 us naval res lab...
2 篇 honda res & dev ...
2 篇 russian acad sci...
2 篇 univ colorado de...
2 篇 univ karlsruhe i...
2 篇 carnegie mellon ...
2 篇 queens univ dept...
2 篇 univ illinois de...
2 篇 beihang univ dep...
2 篇 delf ctr syst & ...
2 篇 budapest univ te...
2 篇 drexel univ dept...

作者

4 篇 zhu w. q.
4 篇 rega giuseppe
4 篇 insperger tamas
3 篇 patwardhan sachi...
3 篇 wedig walter v.
3 篇 wiercigroch mari...
3 篇 nohtomi s
3 篇 lenci stefano
3 篇 okada k
2 篇 wang zaihua
2 篇 weissman michael...
2 篇 horiuch s
2 篇 hu h. y.
2 篇 y. k. lin
2 篇 schoukens m.
2 篇 moore d.j.h.
2 篇 hsieh m. ani
2 篇 wang robert c.
2 篇 toth r.
2 篇 maric petar

语言

338 篇 英文
7 篇 其他
5 篇 中文

检索条件"任意字段=IUTAM Symposium on Nonlinear Stochastic Dynamics and Control"

共 350 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：

Optimal Investment in a Market with Borrowing, the CIR Interest Rate Model, and the Heston Volatility Model 26

Optimal Investment in a Market with Borrowing, the CIR Inter...

引用

26th International symposium on Mathematical Theory of Networks and Systems (MTNS)

作者： Alasmi, Nuha Gashi, Bujar Univ Liverpool Dept Math Sci Peach St Liverpool L69 7ZL Merseyside England Univ Jeddah Dept Math Jeddah Saudi Arabia

We consider the optimal investment problem with power utility from terminal wealth in a market with borrowing, the CIR interest rate model, and the Heston volatility model. This is an optimal stochastic control problem with nonlinear system dynamics due to the higher interest rate for borrowing than lending, and the square-root nonlinearities from the CIR and Heston models. By utilising a certain a piece-wise completion of squares method, the unique explicit closed-form solution to this problem is obtained as a linear state-feedback control, the gain of which can have up to three different regimes. Copyright (c) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Optimal control stochastic nonlinear systems optimal investment borrowing CIR interest rate Heston volatility

来源：评论

学校读者我要写书评

暂无评论

Chaos in pulsar spin dynamics 12

Chaos in pulsar spin dynamics

引用

12th IFAC symposium on nonlinear control Systems (NOLCOS)

作者： Deruni, Berc Dogan, Mustafa Yeditepe Univ Dept Engn TR-34755 Istanbul Turkiye Istanbul Tech Univ Fac Elect Elect Engn Dept Control & Automat Engn TR-34469 Istanbul Turkiye

ISBN: (纸本)9781713872344

In the present paper, a new model describing neutron star dynamics is analysed. The system under consideration can be described as a modified vortex creep model. Two component model and the vortex creep model have been used successfully to describe post glitch relaxation phase. However, glitch behaviour is yet to be explained. There can be a possible stochastic mechanism that trigger glitches in neutron stars. To this aim, we propose a modification in the nonlinear vortex creep model. The significance of the modification is twofold, the dynamics of the system is able to generate intermittency, imitating the glitch behaviour of pulsars, and the system also show chaotic motion when the system parameters are set accordingly. The chaotic dynamics is verified by using nonlinear tools such as numerical phase portraits, Lyapunov exponents and bifurcation diagrams.

关键词： Pulsar spin dynamicsnonlinear superfluiditychaosintermittency

来源：评论

学校读者我要写书评

暂无评论

SINDy vs Hard nonlinearities and Hidden dynamics: a Benchmarking Study 20

SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmar...

引用

20th IFAC symposium on System Identification (SYSID)

作者： Ugolini, Aurelio Raffa Breschi, Valentina Manzoni, Andrea Tanelli, Mara Politecn Milan Dip Elettron Informaz & Bioingn Via G Ponzio 34-5 I-20133 Milan Italy Eindhoven Univ Technol Dept Elect Engn NL-5600 MB Eindhoven Netherlands Politecn Milan Dip Matemat Pzza Leonardo da Vinci 32 I-20133 Milan Italy

In this work, we analyze the effectiveness of the Sparse Identification of nonlinear dynamics (SINDy) technique on three benchmark datasets for nonlinear identification, to provide a better understanding of its suitability as a modeling tool for real dynamical systems. While SINDy is often portrayed as an appealing strategy for pursuing physics-based learning, our analysis highlights two weaknesses, i.e., the difficulties in applying this technique when dealing with unobserved states and non-smooth dynamics. Due to the ubiquity of these features in real systems in general, and control applications in particular, we complement our analysis with hands-on approaches to tackle these issues. Copyright (c) 2024 The Authors.

关键词： Grey box modelling nonlinear system identification Machine learning

来源：评论

学校读者我要写书评

暂无评论

nonlinear stochastic Trajectory Optimization for Centroidal Momentum Motion Generation of Legged Robots 1

引用

18th International symposium of Robotics Research (ISRR)

作者： Gazar, Ahmad Khadiv, Majid Kleff, Sebastien Del Prete, Andrea Righetti, Ludovic Max Planck Inst Intelligent Syst Tubingen Germany Univ Toulouse CNRS LAAS CNRS Toulouse France Univ Trento Dept Ind Engn Trento Italy New York Univ Tandon Sch Engn New York NY USA

ISBN: (数字)9783031255557

ISBN: (纸本)9783031255571;9783031255557;9783031255540

Generation of robust trajectories for legged robots remains a challenging task due to the underlying nonlinear, hybrid and intrinsically unstable dynamics which needs to be stabilized through limited contact forces. Furthermore, disturbances arising from unmodelled contact interactions with the environment and model mismatches can hinder the quality of the planned trajectories leading to unsafe motions. In this work, we propose to use stochastic trajectory optimization for generating robust centroidal momentum trajectories to account for additive uncertainties on the model dynamics and parametric uncertainties on contact locations. Through an alternation between the robust centroidal and whole-body trajectory optimizations, we generate robust momentum trajectories while being consistent with the whole-body dynamics. We perform an extensive set of simulations subject to different uncertainties on a quadruped robot showing that our stochastic trajectory optimization problem reduces the amount of foot slippage for different gaits while achieving better performance over deterministic planning.

关键词： stochastic optimal control Chance-constraints Trajectory optimization Legged robots

来源：评论

学校读者我要写书评

暂无评论

Calendering Process MPC using recursive DMDc 20

Calendering Process MPC using recursive DMDc

引用

20th IFAC symposium on System Identification (SYSID)

作者： Hamdan, Taleb Bou Mercere, Guillaume Dairay, Thibault Coirault, Patrick Poitiers Univ Lab Automat & Informat Syst Poitiers France Manufacture Francaise Pneumat Michelin Clermont Ferrand France Univ Paris Saclay CNRS ENS Paris Saclay Ctr Borelli Gif Sur Yvette France

Ensuring high quality of various layers within a tire demands efficient process control. Rubber calendering does not depart from this important evolution of the tire machinery world. Among the numerous variables and parameters involved in calendering, specific attention is given here to the model predictive control of the rubber temperature. This focus is driven by two key factors: the highly nonlinear dynamics of rubber temperature and the stringent temperature constraints inherent in manufacturing processes. Our rubber temperature control solution combines a constrained MPC algorithm with a time-varying model generated using a recursive form of the well-established Dynamic Mode Decomposition with control (DMDc) method. As demonstrated subsequently, this online approach produces a reduced-order, time-varying state-space representation capable of accurately approximating the nonlinear dynamics of rubber temperature. The entire algorithm has been successfully tested using simulated data derived from a high fidelity simulator replicating a calendering process. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licneses/by-nc-nd/4.0/)

关键词： data driven model learning recursive identification model reduction model predictive control

来源：评论

学校读者我要写书评

暂无评论

Neuroadaptive Tracking control for Uncertain stochastic Pure Feedback Systems with Prescribed Performance 7

Neuroadaptive Tracking Control for Uncertain Stochastic Pure...

引用

7th International symposium on Autonomous Systems, ISAS 2024

作者： Qiu, Hao Zha, Xi Jiang, Xiaohua Huang, Xiucai Chongqing University Institute of Artificial Intelligence School of Automation Chongqing China Chongqing Academy of Agricultural Sciences Chongqing China Co. Ltd. Chongqing China

ISBN: (纸本)9798350363173

In this paper, our focus is on prescribed performance control (PPC), a method that specifically targets a class of uncertain stochastic nonlinear systems exhibiting a pure feedback form. Firstly, we employ the mean value theorem to decouple the pure feedback form inherent in the system. In addition, the neural network and dynamic surfance techniques are exploited to identify the unknown dynamics. and utilizing the backstepping technique, a novel neuroadaptive control algorithm is developed to achieve the desired performance while tracking the reference signal. The proposed adaptive PPC scheme guarantees that all closed-loop signals maintain uniform ultimate boundedness in probability. Furthermore, the proposed scheme ensures tight tracking of the reference signal, thus attaining prescribed performance control. Lastly, simulation results are presented to demonstrate the practical feasibility of our approach. © 2024 IEEE.

关键词： stochastic systems

来源：评论

学校读者我要写书评

暂无评论

nonlinear dynamics of Magnetorheological elastomer sandwich plate under stochastic excitation 8

Nonlinear dynamics of Magnetorheological elastomer sandwich ...

引用

8th International symposium on Hydrogen Energy, Renewable Energy and Materials, HEREM 2022

作者： Gou, Wen-Jun Zhu, Zhi-Wen School of Civil Engineering Tianjin University Tianjin300072 China Tianjin Key Laboratory of Nonlinear Dynamics and Control Tianjin300072 China

In this paper, a kind of magnetorheological elastomer sandwich plate is proposed. The novel nonlinear differential term is applied to describe the force-displacement curve of the magnetorheological elastomer. The constitutive model of the system is established using the Hamilton Modeling Principle. By Galerkin dispersion, the response equation of the system is obtained, and its stochastic dynamic behavior is discussed. The numerical results are simulated by MATLAB mathematics software and show that the magnetorheological elastomer sandwich plate has rich dynamic characteristics, including stochastic Hopf bifurcation, which can be avoided if the parameters vary and only small amplitude vibrations appear. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

Identification of Deformable Linear Object dynamics from Input-output Measurements in 3D Space 20

Identification of Deformable Linear Object Dynamics from Inp...

引用

20th IFAC symposium on System Identification (SYSID)

作者： Floren, Merijn Mamedov, Shamil Noel, Jean-Philippe Swevers, Jan Katholieke Univ Leuven MECO Res Team Leuven Belgium Flanders Make KU Leuven Leuven Belgium

controlling deformable linear objects requires reliable models that capture their complex and high-dimensional dynamics. This paper aims to obtain accurate state-space models of such objects from input-output measurements only, tailored for the use in a model predictive control setting. The proposed identification approach is initialized by a physics-inspired baseline model which approximates a deformable linear object by a serial chain of rigid bodies connected via elastic joints. The nonlinear residual dynamics of the baseline model are then modeled by an artificial neural network, where a key element is the so-called guided residual search that first infers the latent residual and state trajectories in the time domain, in this way facilitating supervised learning of the neural network. The efficacy of the modeling approach is demonstrated on experimental data of the 3D end-point motion of a flexible aluminum rod, excited by a 7-axis Franka Panda robot arm. Compared to a physics-inspired baseline model, the proposed method achieves a 14% prediction performance increase, and compared to a fully neural network-based approach with a similar number of parameters, it achieves a 58% improvement, while also reporting a training time that is more than 5 times faster. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licneses/by-nc-nd/4.0/)

关键词： Deformable linear objects nonlinear system identification State-space models Neural networks Optimization Optimal control theory

来源：评论

学校读者我要写书评

暂无评论

dynamics Modeling of Robot Joints with Asymmetric Load-Dependent Friction 20

Dynamics Modeling of Robot Joints with Asymmetric Load-Depen...

引用

20th IFAC symposium on System Identification (SYSID)

作者： Graabaek, Soren Poulsen, Niels K. Sloth, Christoffer Univ Southern Denmark Maersk McKinney Moller Inst Copenhagen Denmark Universal Robots AS Copenhagen Denmark Tech Univ Denmark Dept Appl Math & Comp Sci Lyngby Denmark

This paper presents a strain wave gear model intended for industrial robots that are operated in both forward drive and backward drive under different load conditions. We show that a simple joint model captures the joint dynamics well at one load, but fails to capture the joint dynamics when the load is changed. Similarly, the simple model cannot capture the efficiency of the joint in both forward drive and backward drive. We propose a tooth model with sliding friction to resolve these issues. This model is simple to simulate and can thus be used for real-time control;the proposed model captures the load dependent friction and difference in efficiency in backward drive and forward drive. We validate the simulation performance of the tooth models on data from a Universal Robots UR10e robot with different payloads which shows an improvement compared to the standard rigid joint model. Copyright (c) 2024 The Authors.

关键词： Grey Box Modelling nonlinear System Identification Identification for control

来源：评论

学校读者我要写书评

暂无评论

On identifying the non-linear dynamics of a hovercraft using an end-to-end deep learning approach 20

On identifying the non-linear dynamics of a hovercraft using...

引用

20th IFAC symposium on System Identification (SYSID)

作者： Schwan, R. Schmid, N. Chassaing, E. Samaha, K. Jones, C. N. Ecole Polytech Fed Lausanne Automat Control Lab Lausanne Switzerland Ecole Polytech Fed Lausanne Risk Analyt & Optimizat Chair Lausanne Switzerland

We present the identification of the non-linear dynamics of a novel hovercraft design, employing end-to-end deep learning techniques. Our experimental setup consists of a hovercraft propelled by racing drone propellers mounted on a lightweight foam base, allowing it to float and be controlled freely on an air hockey table. We learn parametrized physics-inspired non-linear models directly from data trajectories, leveraging gradient-based optimization techniques prevalent in machine learning research. The chosen model structure allows us to control the position of the hovercraft precisely on the air hockey table. We then analyze the prediction performance and demonstrate the closed-loop control performance on the real system. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： nonlinear system identification Learning for control Hovercraft Parametric modeling Air hockey Physics-inspired modeling

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35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：