检索结果-内蒙古大学图书馆

23rd International Conference on control Systems and Computer Science Technologies, CSCS 2021

作者： Munteanu, Ruben Iacob Stamatescu, Iulia Calofir, Vasile Nica, George Bogdan Iliescu, Sergiu Stelian Politehnica University of Bucharest Department of Automatic Control and Industrial Informatics Bucharest Romania Technical University of Civil Engineering Department of Mechanics of Structures Bucharest Romania

ISBN: (纸本)9781665439398

Seismic design of buildings for elastic behavior is a major challenge in civil engineering field. The economic requirements imply that in general the structural elements dissipate earthquake induced energy through plastic deformations. This means that certain level of structural damage must be accepted. The main objective of this paper is the mitigation of seismic structural response, using a fuzzy controller, with the aim to maintain an elastic behavior throughout an entire seismic event. In this regard, a finite element plane frame model was constructed and simulated using the Force Analogy Method together with the State Space formulation. Furthermore, a comparative analysis of the structural response with and without control implementation was carried out. The results illustrate the efficiency of the fuzzy controller. © 2021 IEEE.

关键词： Simulink

来源：评论

学校读者我要写书评

暂无评论

Sneak Circuit Analysis Covering Interface Circuits in Spacecraft Integrated Chips while Considering Faults

Sneak Circuit Analysis Covering Interface Circuits in Spacec...

引用

System Reliability and Safety engineering (SRSE), International Conference on

作者： Weiming Liu Cen Chen Kaiwen Xiao Mingtao Feng Haonan Zhang Guofu Zhai Department of Electrical Engineering & Automation Harbin Institute of Technology Harbin China Beijing Aerospace Automatic Control Institute Beijing China Harbin Institute of Technology Harbin China

ISBN: (数字)9798350356083

ISBN: (纸本)9798350356090

Sneak circuit analysis is a crucial reliability design process. In the design of spacecraft electronic systems, it is challenging to identify sneak circuits related to integrated chip interface circuits, and there are few targeted researches. In extreme working conditions, the coupling sneak circuits caused by the failure of integrated chips are difficult to identify, affecting the design optimization. The paper proposes a typical interface information specification model for integrated chips to simulate the electrical information characteristics of interfaces. And the typical failure models of intrinsic components inside the chip are determined through multi-physics field analysis. Then, based on the digital model, a sneak circuit diagnosis process based on excitation and fault injection are proposed, and a sneak circuit screening method based on Python virtual prototyping is implemented in the case study. Finally, the design constraint clues for the chip’s external circuit are obtained, which provides a reference for related fault diagnosis and reliability optimization works.

关键词： Space vehicles Semiconductor device modeling Reliability engineering Topology Circuit faults Virtual prototyping Integrated circuit modeling Integrated circuit reliability Circuit analysis Stress

来源：评论

学校读者我要写书评

暂无评论

Research on Path Planning Algorithm Based on D∗ Search

Research on Path Planning Algorithm Based on D∗ Search

引用

2023 International Conference on Ocean Studies, ICOS 2023

作者： Leng, Jiajun Fu, Li Wang, Lingling Tang, Ning Laboratory of Science and Technology on Marine Navigation and Control China State Shipbuilding Corporation Beijing100036 China Tianjin Navigation Instruments Research Institute Tianjin300131 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Bauman Moscow State Technical University Moscow Department of Automatic Control Systems 105005 Russia

ISBN: (纸本)9798350382457

Path planning algorithms are current research hotspots. Heuristic algorithms that can solve dynamic environment problems are gradually becoming the mainstream research direction. The D∗ algorithm, as one of the new heuristic algorithms, has the advantages of being more computationally efficient than the A ∗ algorithm and being able to solve dynamic problems, and has played an important role in two-dimensional path planning projects such as the NASA Mars rover. But its theoretical research and practical application in 3D environment are very rare. In this context, this paper carries out an in-depth study of the path planning problem based on the D∗ algorithm, and completes the theoretical derivation and simulation process in 2D and 3D environments. In this paper, a complex random 2D map is established by random generation, and the simulation of D∗ algorithm is realized on the map with the help of Python language, which realizes the finding of the relative optimal path. Then, in order to study the feasibility of D∗ solving in 3D environment, the simulation of D∗ algorithm under 3D map is realized with the help of Python and Unity3d. The research results show that the simulation results are good, which is valuable for the theoretical research and practical application of heuristic algorithms, and plays a role in the application of robot path planning algorithms. © 2023 IEEE.

关键词： Python

来源：评论

学校读者我要写书评

暂无评论

Transformer Fault Detection Using DGA Based on Three Ratio Technique and Random Forest Algorithm

Transformer Fault Detection Using DGA Based on Three Ratio T...

引用

International Conference on Applied and Theoretical Electricity (ICATE)

作者： Maria-Cristina Niţu Ancuţa-Mihaela Aciu Marcel Nicola Claudiu-Ionel Nicola Research and Development Department National Institute for Research Development and Testing in Electrical Engineering – ICMET Craiova Craiova Romania Department of Automatic Control and Electronics National Institute for Research Development and Testing in Electrical Engineering – ICMET Craiova University of Craiova Craiova Romania

ISBN: (数字)9798350388107

ISBN: (纸本)9798350388114

Power transformers are essential elements in the production and distribution of electricity, and keeping them in optimum operating condition is a constant concern for specialists in the field. The condition of power transformers is mainly determined by the condition of the mixed insulation system, i.e. solid cellulose paper insulation and liquid insulating oil insulation. This is why the Three Ratio Technique (TRT) is used with good results for the early detection of power transformer faults. In this paper, the ratios defined by the TRT method are used to train a machine learning classifier based on ensemble and random forest algorithms. The validation of the power transformer fault identification software application for the proposed method is carried out in the experimental section.

关键词： Fault diagnosis Machine learning algorithms Fault detection Electricity Software algorithms Oil insulation Solids Classification algorithms Random forests Power transformer insulation

来源：评论

学校读者我要写书评

暂无评论

UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-generation Framework

arXiv

引用

arXiv 2023年

作者： Amer, Abdelhakim Álvarez-Tuñón, Olaya Ugurlu, Halil Ibrahim le Fevre Sejersen, Jonas Brodskiy, Yury Kayacan, Erdal The Department of Electrical Engineering and Computer Engineering Aarhus University Aarhus8200 Denmark EIVA a/s Skanderborg8660 Denmark The Automatic Control Group Department of Electrical Engineering and Information Technology Paderborn University Paderborn Germany

Underwater robotic surveys can be costly due to the complex working environment and the need for various sensor modalities. While underwater simulators are essential, many existing simulators lack sufficient rendering quality, restricting their ability to transfer algorithms from simulation to real-world applications. To address this limitation, we introduce UNav-Sim, which, to the best of our knowledge, is the first simulator to incorporate the efficient, high-detail rendering of Unreal Engine 5 (UE5). UNav-Sim is open-source1 and includes an autonomous vision-based navigation stack. By supporting standard robotics tools like ROS, UNav-Sim enables researchers to develop and test algorithms for underwater environments efficiently. © 2023, CC BY.

关键词： Data visualization

来源：评论

学校读者我要写书评

暂无评论

Urban traffic congestion control: a DeePC change

arXiv

引用

arXiv 2023年

作者： Rimoldi, Alessio Cenedese, Carlo Padoan, Alberto Dörfler, Florian Lygeros, John Automatic Control Laboratory Department of Electrical Engineering and Information Technology ETH Zürich Physikstrasse 3 Zürich8092 Switzerland

Urban traffic congestion remains a pressing challenge in our rapidly expanding cities, despite the abundance of available data and the efforts of policymakers. By leveraging behavioral system theory and data-driven control, this paper exploits the DeePC algorithm in the context of urban traffic control performed via dynamic traffic lights. To validate our approach, we consider a high-fidelity case study using the state-of-the-art simulation software package Simulation of Urban MObility (SUMO). Preliminary results indicate that DeePC outperforms existing approaches across various key metrics, including travel time and CO2 emissions, demonstrating its potential for effective traffic management. Copyright © 2023, The Authors. All rights reserved.

关键词： Travel time

来源：评论

学校读者我要写书评

暂无评论

Probabilistic Optimal Power Flow Computation for Power Grid Including Correlated Wind Sources

SSRN

引用

SSRN 2024年

作者： Xiao, Qing Du, Min School of Information and Electrical Engineering Hunan University of Science and Technology Hunan Province Xiangtan China Department of Automatic Control and Systems Engineering University of Sheffield South Yorkshire Sheffield United Kingdom

This paper sets out to develop an efficient probabilistic optimal power flow (POPF) algorithm to assess the influence of wind power on power grid. Given a set of wind data at multiple sites, the marginal distribution is fitted by a newly developed generalized Johnson system, the dependence structure of wind speeds is matched by the flexible Liouville copula. In order to lower the computational burden for solving POPF model, a Lattice sampling technique is developed to generate wind samples at multiple sites, and a Logistic mixture model is proposed to fit distributions of POPF outputs, which can quantify the effect of wind speed uncertainty on power grid. Finally, the proposed methods are illustrated by case studies on the IEEE 118-bus system. © 2024, The Authors. All rights reserved.

关键词： Electric load flow

来源：评论

学校读者我要写书评

暂无评论

Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype algorithm

arXiv

引用

arXiv 2023年

作者： Grontas, Panagiotis D. Cenedese, Carlo Fochesato, Marta Belgioioso, Giuseppe Lygeros, John Dörfler, Florian Automatic Control Laboratory Department of Electrical Engineering and Information Technology ETH Zürich Physikstrasse 3 Zürich8092 Switzerland

We study the problem of optimally routing plug-in electric and conventional fuel vehicles on a city level. In our model, commuters selfishly aim to minimize a local cost that combines travel time, from a fixed origin to a desired destination, and the monetary cost of using city facilities, parking or service stations. The traffic authority can influence the commuters' preferred routing choice by means of personalized discounts on parking tickets and on the energy price at service stations. We formalize the problem of designing these monetary incentives optimally as a large-scale bilevel game, where constraints arise at both levels due to the finite capacities of city facilities and incentives budget. Then, we develop an efficient decentralized solution scheme with convergence guarantees based on BIG Hype, a recently-proposed hypergradient-based algorithm for hierarchical games. Finally, we validate our model via numerical simulations over the Anaheim's network, and show that the proposed approach produces sensible results in terms of traffic decongestion and it is able to solve in minutes problems with more than 48000 variables and 110000 constraints. Copyright © 2023, The Authors. All rights reserved.

关键词： Travel time

来源：评论

学校读者我要写书评

暂无评论

An Efficient and Secured Energy Management System for Automated Guided Vehicles

An Efficient and Secured Energy Management System for Automa...

引用

2022 IEEE International Conference on Big Data, Big Data 2022

作者： Syu, Jia-Hao Lin, Jerry Chun-Wei Mrozek, Dariusz National Taiwan University Department of Computer Science and Information Engineering Taiwan Western Norway University of Applied Sciences Department of Computer Science Electrical Engineering and Mathematical Sciences Norway Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Poland

ISBN: (纸本)9781665480451

In this paper, we propose a Secure Energy Management System (SEMS) with anomaly detection and Q-Learning decision modules for Automated Guided Vehicles (AGV). The anomaly detection module is a multi-task learning network to simultaneously classify suppliers and predict the real supply quantities. The Q-learning decision module can then determine operating reserve and subsidies to manage the energy grid. Experimental results illustrate that the proposed anomaly detection module has an excellent performance in classifying malicious suppliers, excels at shaping supply distribution, and outperforms the existing benchmark systems. © 2022 IEEE.

关键词： Energy management

来源：评论

学校读者我要写书评

暂无评论

FROST: Fusion and Multimodal 3D Reconstruction of Icy Surfaces for Robotic Exploration

FROST: Fusion and Multimodal 3D Reconstruction of Icy Surfac...

引用

Computational Intelligence on engineering/Cyber Physical Systems Companion (CIES Companion), IEEE Symposium on

作者： Huy Xuan Pham Erdal Kayacan Department of Electrical and Computer Engineering Artificial Intelligence in Robotics Laboratory (Air Lab) Aarhus University Aarhus C Denmark Automatic Control Group (RAT) Paderborn University Paderborn Germany

ISBN: (数字)9798331508494

ISBN: (纸本)9798331508500

Three-dimensional (3D) reconstruction serves as a cornerstone in various robotic applications, playing critical roles in scene understanding and navigation. Traditionally, LiDAR has been instrumental in generating precise point clouds of the environment, providing essential data for these applications. However, the efficacy of LiDAR sensors is significantly hindered in challenging conditions, such as the presence of water or icy surfaces. The complex interplay between laser beams and icy or non-ideal surfaces can result in signal degradation, distortion, or even complete signal loss, adversely affecting the accuracy and reliability of the 3D reconstruction process. The reflective and refractive properties of ice, along with its variable surface conditions, present challenges that traditional LiDAR sensors struggle to address. This paper proposes a diverse dataset to facilitate a multimodal approach for reconstructing icy surfaces using various sensors. A preliminary study based on this dataset demonstrates the feasibility of combining the geometric surface obtained from consecutive LiDAR scans with reconstructed meshes from visual cameras. The integration of distinct data sources has the potential to improve the robustness of reconstruction algorithms in diverse scenarios. The dataset can be downloaded at https://***/records/13862009.

关键词： Point cloud compression Surface reconstruction Laser radar Three-dimensional displays Navigation Ice Robustness Laser beams Image reconstruction Surface treatment

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：