检索结果-内蒙古大学图书馆

arXiv 2024年

作者： Janssen, Lars A.L. Fey, Rob H.B. Besselink, Bart van de Wouw, Nathan Dynamics & Control Department of Mechanical Engineering Eindhoven University of Technology Netherlands Bernoulli Institute for Mathematics Computer Science and Artificial Intelligence University of Groningen Netherlands

Complex mechatronic systems are typically composed of interconnected modules, often developed by independent teams. This development process challenges the verification of system specifications before all modules are integrated. To address this challenge, a modular redesign framework is proposed in this paper. Herein, first, allowed changes in the dynamics (represented by frequency response functions (FRFs)) of the redesigned system are defined with respect to the original system model, which already satisfies system specifications. Second, these allowed changes in the overall system dynamics (or system redesign specifications) are automatically translated to dynamics (FRF) specifications on module level that, when satisfied, guarantee overall system dynamics (FRF) specifications. This modularity in specification management supports local analysis and verification of module design changes, enabling design teams to work in parallel without the need to iteratively rebuild the system model to check fulfilment of system FRF specifications. A modular redesign process results that shortens time-to-market and decreases redesign costs. The framework’s effectiveness is demonstrated through three examples of increasing complexity, highlighting its potential to enable modular mechatronic system (re)design. © 2024, CC BY-NC-ND.

关键词： Specifications

来源：评论

学校读者我要写书评

暂无评论

Examining the Effects of STATCOM and MBPSS on the Integration of High-Level Wind Power into the Power Grid Under Fault Conditions

Examining the Effects of STATCOM and MBPSS on the Integratio...

引用

International Conference on Systems and control (ICSC)

作者： Bilel Dhouib Moncef Triki Mohamed Ali Zdiri Hsan Hadj Abdallah Electrical engineering department Sfax engineering school Control & energy management laboratory Sfax engineering school Sfax Tunisia Electrical Engineering Department Sfax laboratory of sciences and techniques of automatic & computer engineering (Lab-STA) Sfax engineering school Sfax Tunisia Electrical engineering department Sfax engineering school control & energy management laboratory Sfax engineering school Sfax Tunisia

With the increasing need for sustainable energy sources, wind power has gained prominence as a clean and renewable option. Nevertheless, incorporating wind power into the electrical grid at a significant scale can have a considerable impact on the dynamic behavior of the power system, leading to heightened operational uncertainties. The expanding requirement for power network connection to wind farms has led to the occurrence of rotor angle fluctuations and frequency instability. This paper utilizes a Static Synchronous Compensator (STATCOM) along with a multi-band power system stabilizer (MB-PSS) to assess the transient stability of a power grid. To demonstrate the system's efficiency under fault conditions, such as triple line-to-ground faults (LLLG), a nine-bus, three-machine test network incorporating a Doubly Fed Induction Generator (DFIG) has been employed. The system's performance has been evaluated through MATLAB/Simulink simulations, which reveal that the combination of STATCOM with MB-PSS produces superior results in enhancing transient stability when compared to the scenarios of using STATCOM alone or not using it at all.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Insights into automation of construction process using parallel-kinematic manipulators

引用

Construction Robotics 2023年第1期7卷 3-18页

作者： Klöckner, M. Haage, M. Eriksson, H. Malm, H. Nilsson, K. Robertsson, A. Andersson, R. Department of Computer Science Lund University Lund Sweden Winsome Consulting AB Lomma Sweden Fojab arkitekter AB Malmö Sweden Cognibotics AB Lund Sweden Department of Automatic Control Lund University Lund Sweden AChoice AB Malmö Sweden

This article discusses challenges, experiences and lessons learned so far while transforming a masonry build system based mostly on manual labour into a robot automated build system. Our motivation for selection of this masonry process is to try out how robot automation could impact the architects in their design work by providing a tool to directly manipulate wall expression down to individual brick level. Such manipulation is often much too costly for manual labour today. Moreover, masonry is a challenging application to automate. Understanding the manual processes involved and transforming them into automation equivalents faces several challenges; among them handling and distribution of the different materials involved, selection of tooling, sensing for handling of variation and digital tooling for the programming of the process. A novel parallel-kinematic manipulator (PKM) with computerized numerical control (CNC) is used as target for experiments, because the performance properties in stiffness, workspace and accuracy will allow us to extend work into further construction processes involving heavy and dirty manual labour.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fowler-Nordheim stress-induced degradation in n-channel MOSFETs

Fowler-Nordheim stress-induced degradation in n-channel MOSF...

引用

International Youth Conference on Radio Electronics, Electrical and Power engineering (REEPE)

作者： Igor V. Chukhraev Dmitry V. Mastykash Vladimir E. Drach Computer Science and Control Department Bauman Moscow State Technical University Moscow Russian Federation Department of Innovative Engineering and Digital Technologies Sochi State University Sochi Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

This study investigates the degradation mechanisms of gate oxide in n-channel MOSFETs subjected to Fowler-Nordheim constant current stress to introduce uniformly distributed defects. Different techniques were used to characterise the impact of stress-induced defects on the electrical properties of MOSFETs. The findings reveal distinct degradation behaviors, with early-stage negative shifts in threshold voltage attributed to hole trapping, transitioning to positive shifts due to interface state generation at higher electron fluence. The study also emphasises the factors that influence device performance. The results enhance our understanding of gate oxide reliability under high-field stress, as well as the mechanisms of defect creation and charge trapping in MOSFETs.

关键词： Degradation Electron traps Logic gates Threshold voltage Interface states Reliability Stress Thermal stability Thermal stresses Thermal degradation

来源：评论

学校读者我要写书评

暂无评论

On-Device Learning with Raspberry Pi for GCN-Based Epilepsy EEG Classification

On-Device Learning with Raspberry Pi for GCN-Based Epilepsy ...

引用

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Zhuoli He Chuansheng Wang Jiayan Huang Antoni Grau Edmundo Guerra Jiaquan Yan College of Computer and Big Data Fuzhou University Fuzhou China Department of Automatic Control Polytechnic University of Catalonia Barcelona Spain College of New Engineering Industry Putian University Putian China School of Computer and Big Data Minjiang University Fuzhou China

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

Epilepsy is a chronic brain disease characterized by recurrent and transient seizures, which is accompanied by super-synchronous abnormal discharge of electroencephalogram (EEG) signals. As a non-invasive auxiliary diagnostic technique, EEG is currently important means of seizure detection. However, due to ignoring the spatial topological relationship between electrodes, existing data-driver methods fail to fully reflect the interaction between signals. Meanwhile, their models usually be designed with a large number of redundant parameters, making it difficult to deploy to micro-embedded devices with limited-resources. In this paper, we propose a on-device learning with edge device for epilepsy EEG classification network based on GCN (oDLGCN-EEG). Specifically, to analyze the spatial relationships between various electrodes and their temporal dependencies, we design a Brain Topology Network (BTN) for the spatiotemporal dependency feature map construction. To capture the internal activity during epilepsy seizures, we design a Neural Feature Extraction Module (NFEM) for the neural activity feature map construction. Besides, we propose a pruning scheme to optimize the model, which successfully deploys the optimized oDLGCN-EEG on the embedded Raspberry Pi device for efficient and low-power consumption intelligent epilepsy classification. Experiments in comparison with state-of-the-art methods show that oDLGCN-EEG achieves the best classification accuracy and with the smallest parameter number on baseline EEG dataset. The code is available at https://***/cathnat/Epileptic_Classification.

关键词： Electrodes Accuracy Computational modeling Biological system modeling Neural activity Epilepsy Brain modeling Feature extraction Electroencephalography Spatiotemporal phenomena

来源：评论

学校读者我要写书评

暂无评论

On the conceptualization of total disturbance and its profound implications

引用

science China(Information sciences) 2020年第2期63卷 221-223页

作者： Sen CHEN Wenyan BAI Yu HU Yi HUANG Zhiqiang GAO Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences Beijing Aerospace Automatic Control Institute Center for Advanced Control Technologies Department of Electrical Engineering and Computer ScienceCleveland State University

Dear editor,How to deal with uncertainties and/or disturbances is a central issue pushing the development of both control science and control technology. Among various approaches, the active disturbance rejection control (ADRC) has been successfully implemented in various industrial practices because of its uniqueness in concepts, simplicity

关键词： ESO On the conceptualization of total disturbance and its profound implications

来源：评论

学校读者我要写书评

暂无评论

Efficient Coordination and Synchronization of Multi-Robot Systems Under Recurring Linear Temporal Logic

arXiv

引用

arXiv 2025年

作者： Peron, Davide Fernandez-Ayala, Victor Nan Vlahakis, Eleftherios E. Dimarogonas, Dimos V. Department of Information Engineering University of Padova Padova35122 Italy Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm10044 Sweden

We consider multi-robot systems under recurring tasks formalized as linear temporal logic (LTL) specifications. To solve the planning problem efficiently, we propose a bottom-up approach combining offline plan synthesis with online coordination, dynamically adjusting plans via real-time communication. To address action delays, we introduce a synchronization mechanism ensuring coordinated task execution, leading to a multi-agent coordination and synchronization framework that is adaptable to a wide range of multi-robot applications. The software package is developed in Python and ROS2 for broad deployment. We validate our findings through lab experiments involving nine robots showing enhanced adaptability compared to previous methods. Additionally, we conduct simulations with up to ninety agents to demonstrate the reduced computational complexity and the scalability features of our work. © 2025, CC BY.

关键词： Multipurpose robots

来源：评论

学校读者我要写书评

暂无评论

Abstracting Linear Stochastic Systems via Knowledge Filtering

arXiv

引用

arXiv 2023年

作者： Engelaar, Maico Hendrikus Wilhelmus Romao, Licio Gao, Yulong Lazar, Mircea Abate, Alessandro Haesaert, Sofie Department of Electrical Engineering Control Systems Group Eindhoven University of Technology Netherlands Department of Computer Science University of Oxford United Kingdom

In this paper, we propose a new model reduction technique for linear stochastic systems that builds upon knowledge filtering and utilizes optimal Kalman filtering techniques. This new technique will reduce the dimension of the noise disturbance and will allow any controller designed for the reduced model to be refined into a controller for the original stochastic system, while preserving any specification on the output. Although initially the reduced model will be time-varying, a method will be provided with which the reduced model can become time-invariant if it satisfies some minor technical conditions. We present our theoretical findings with an example that supports the proposed framework and illustrates how model reduction and controller refinement of stochastic systems can be achieved. We finish the paper by considering specific examples to analyze both completeness with respect to controller synthesis and model order reduction with respect to the state. © 2023, CC BY-NC-ND.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach

arXiv

引用

arXiv 2023年

作者： Zhan, Zhongwei Wang, Yingjie Duan, Peiyong Sai, Akshita Maradapu Vera Venkata Liu, Zhaowei Xiang, Chaocan Tong, Xiangrong Wang, Weilong Cai, Zhipeng The School of Computer and Control Engineering Yantai University Yantai264005 China The department of Electrical and Control Qilu University of Technology Shandong Academy of Sciences Jinan250000 China The department of Computer Science Georgia State University AtlantaGA30303 United States The College of Computer Science Chongqing University Chongqing400044 China The Department of Computer Science and Engineering Southeast University Nanjing211189 China

Collaborative Mobile Crowdsourcing (CMCS) allows platforms to recruit worker teams to collaboratively execute complex sensing tasks. The efficiency of such collaborations could be influenced by trust relationships among workers. To obtain the asymmetric trust values among all workers in the social network, the Trust Reinforcement Evaluation Framework (TREF) based on Graph Convolutional Neural Networks (GCNs) is proposed in this paper. The task completion effect is comprehensively calculated by considering the workers’ ability benefits, distance benefits, and trust benefits in this paper. The worker recruitment problem is modeled as an Undirected Complete Recruitment Graph (UCRG), for which a specific Tabu Search Recruitment (TSR) algorithm solution is proposed. An optimal execution team is recruited for each task by the TSR algorithm, and the collaboration team for the task is obtained under the constraint of privacy loss. To enhance the efficiency of the recruitment algorithm on a large scale and scope, the Mini-Batch K-Means clustering algorithm and edge computing technology are introduced, enabling distributed worker recruitment. Lastly, extensive experiments conducted on five real datasets validate that the recruitment algorithm proposed in this paper outperforms other baselines. Additionally, TREF proposed herein surpasses the performance of state-of-the-art trust evaluation methods in the literature. Copyright © 2023, The Authors. All rights reserved.

关键词： Tabu search

来源：评论

学校读者我要写书评

暂无评论

Deep Learning based Defect Detection Algorithm for Solar Panels 5

Deep Learning based Defect Detection Algorithm for Solar Pan...

引用

5th World Robot Conference Symposium on Advanced Robotics and Automation, WRC SARA 2023

作者： Li, Jiaqi Li, Hongxu Wu, Yifan Zhou, Hailiang Manfredi, Luigi Li, Peng Zhang, Hong Hebei Province Yanshan University Department of Key Lab of Industrial Computer Control Engineering Qinhuangdao066004 China University of Alberta Department of Computing Science EdmontonABT6G 2R3 Canada Hebei Baoding Jiasheng Photovoltaic Technology Co. Ltd. China United Kingdom Southern University of Science and Technology Department of Electronic and Electrical Engineering Shenzhen China

ISBN: (纸本)9798350307320

Defect detection of solar panels plays an essential role in guaranteeing product quality within automated production lines. However, traditional manual inspection of solar panel defects suffers from low efficiency. This paper proposes an enhanced YOLOv5 algorithm (EL-YOLOv5) fused with the CBAM hybrid attention module to ensure product quality. The algorithm focuses on detecting five common types of defects that frequently appear on photovoltaic production lines, namely hidden cracks, scratches, broken grids, black spots, and short circuits. This study utilizes publicly available solar panel datasets, as well as datasets collected from actual photovoltaic production lines. These datasets are annotated accordingly and used to train the proposed algorithm. The experimental results demonstrate that the proposed algorithm achieves good performance on both the public and actual solar panel defect datasets. Particularly in actual datasets, where defect features are often less apparent and defects are smaller in size, the proposed algorithm can still detect even minor black spots. © 2023 IEEE.

关键词： Solar panels

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：