检索结果-内蒙古大学图书馆

Modeling and Optimal control for Resource Allocation in the Epidemic Monitoring of a Multi-group Population

SN Computer Science 2024年第1期5卷 121页

作者： Di Giamberardino, Paolo Iacoviello, Daniela Papa, Federico Department of Computer Control and Management Engineering “A. Ruberti” Sapienza University of Rome Via Ariosto 25 Rome 00185 Italy Institute for System Analysis and Computer Science “A. Ruberti” CNR Via dei Taurini 19 Rome 00185 Italy

In the last 3 years, the entire world has been facing the sanitary emergency due to the SARS-CoV2;it has been stressed the mutual interdependence of the human populations, as well as the strong impact of specific conditions, such as age, work, habits, on the disease spread among subgroups of a given population. Moreover, the high percentage of asymptomatic individuals, especially among young subjects, improves the infection spread among groups with higher probability of fatal consequences. The vaccination campaign has strongly contributed to reduce mortality, so bringing the epidemic scenario probably closer to the endemic state. Nevertheless, the loss of the vaccination protection, the appearance of new variants and the mixing of moving people require a surveillance action to reduce new virus waives. By suitable modeling and optimal control design, this paper addresses the planning of a swab test campaign for the surveillance of the disease spread within a given multi-group population, when resource limitation and distinctive epidemiological characteristics of the subgroups are present. The proposed approach, applied on a case study in which the population is split into four groups, stresses the importance of a suitable tuned swab test campaign, saving a significant number of infections (and therefore of human lives), by scheduling the surveillance effort on the different populations. The determination of this kind of control is useful not only in the endemic condition, but also as general surveillance strategy at the beginning of an epidemic spread, with limitations in material and logistic resources. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Epidemic monitoring Mathematical modeling of epidemics Optimal control Resource allocation

来源：评论

学校读者我要写书评

暂无评论

A fast power control method based on high-speed communication for the continuous co-phase traction power system

引用

iEnergy 2022年第4期1卷 395-399页

作者： Mingrui Li Yingdong Wei Yunzhi Lin Xiaoqian Li Chao Lu Changle Wang Zhanhe Li State Key Laboratory of Power System Operation and Control Department of Electrical EngineeringTsinghua UniversityBeijing 100084China China Railway Electrification Engineering Group Co. Ltd.Beijing 100036China

Continuous co-phase traction power system is an effective method to eliminate neutral sections and provide high quality power for both the public grid and the *** substations have the ability to provide cooperative support to each other to reduce capacity and improve system reliability.A fast power control method for substations is needed due to rapid load changes and low overload capability of the *** paper proposes a fast power control method based on high-speed communication between substations,with additional transient power control to significantly improve the dynamic response of the system.

关键词： Continuous co-phase traction power system cooperative power control dynamic response high-speed communication

来源：评论

学校读者我要写书评

暂无评论

Digital-Twin-Based Clock Synchronization in Industrial IoT systems 13

Digital-Twin-Based Clock Synchronization in Industrial IoT S...

引用

13th IEEE International Conference on CYBER Technology in Automation, control, and Intelligent systems, CYBER 2023

作者： Cheng, Ting Liu, Shuai Xu, Qimin Zhu, Shanying Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China School of Control Science and Engineering Shandong University Jinan250061 China

ISBN: (纸本)9798350315196

Close and efficient cooperation between devices in the Industrial Internet of Things (IIoT) requires precise clock synchronization as a prerequisite. The uncertainty of IIoT networks and the complexity of industrial environments have led to less precise clock synchronization achieved by traditional algorithms and higher network resource consumption. This paper proposes a digital-twin-based clock synchronization scheme for IIoT systems. By building the digital model for each local clock to predict their clock skew, the information interaction required to achieve synchronization is reduced. In order to model the clock accurately, this paper proposes to use the extended state Kalman filter to handle uncertain dynamics and unknown measurement bias to improve the estimation accuracy of clock skew further. The simulation results show that the proposed algorithm can achieve high- precision clock synchronization while reducing the consumption of network resources. © 2023 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

An omnidirectional asymmetric mobile robot for narrow aisle spaces 10

An omnidirectional asymmetric mobile robot for narrow aisle ...

引用

10th Indian control Conference, ICC 2024

作者： Arunkumar, G.K. Devkar, Samadhan Vachhani, Leena Kunwar, Ambarish Technology Innovation Hub fot IOT and IoE Indian Institute of Technology Bombay Mumbai India Department of Biosciences and Bioengineering Indian Institute of Technology Bombay Mumbai India Department of System and Control Engineering Indian Institute of Technology Bombay Mumbai India

ISBN: (纸本)9798331517212

The constrained spaces in narrow aisles of airplanes and manufacturing facilities limit the use of mobile robots. Utilizing Mecanum wheels allows mobile robots to move smoothly in any direction without needing to turn, enhancing maneuverability and efficiency in constrained environments. However, the sizeable Mecanum wheel and the individual motor assembly required for independent control restrict its use in mobile robot designs for maneuvering in narrow spaces. This work proposes an asymmetric design to overcome the challenge of using Mecanum wheels in small-size robots and analyses the kinematic requirements due to asymmetric design. Numerical simulation and experimental tests confirm the platform’s ability to navigate tight spaces, make sharp turns, and carry various payloads, significantly improving operational efficiency. The proposed asymmetric mobile robot offers a practical solution for enhancing the performance of automated guided vehicles (AGVs) and robotic systems in space-limited settings. © 2024 IEEE.

关键词： Mobile robots

来源：评论

学校读者我要写书评

暂无评论

A Study on Electromagnetic Field Analysis Considering Geometry Variation Using Physics-Informed Neural Network

A Study on Electromagnetic Field Analysis Considering Geomet...

引用

International Conference on Electrical Machines and systems (ICEMS)

作者： Ji-Hoon Han Eui-Jin Choi Sun-Ki Hong Department of Information Control Engineering Hoseo University Asan Korea Department of System and Control Engineering Hoseo University Asan Korea

The problem with finite element analysis is that each analysis is run separately, so any variation in geometry requires a new analysis. When performing finite element analysis for generating fault diagnosis data, the frequent geometry variations that occur to consider numerous fault levels lead to a long time. In this paper, to solve these problems, an analysis using a physics-informed neural network is proposed to solve the differential equation that was solved by a numerical method using a neural network. Transfer learning is used, which enables fast analysis based on the analysis experience before the geometry is varied. In addition, nonlinear magnetic material characteristics and electronic systems in the saturated region are analyzed to evaluate whether the physics-informed neural network can cope with some numerical analysis problem.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A New Island Genetic Algorithm for Path Planning Problems *

A New Island Genetic Algorithm for Path Planning Problems *

引用

2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023

作者： Zhang, Jinghao Chen, Zhe Li, Ning Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China Tsinghua University Department of Automation Beijing100084 China

ISBN: (纸本)9798350327182

Genetic algorithm (GA) is an effective method for path planning problems. As a powerful variant of GA, island genetic algorithm (IGA) has considerable improvement in performance. In this paper, a new island model of GA is proposed to avoid the premature phenomenon and achieve better efficiency. First, a new method of creating subpopulations is presented based on K-means to expand the searching area for the optima. Meanwhile, recombining subpopulations is proposed as a new strategy to improve the diversity of populations and save computational time. Moreover, a method is designed based on Monte Carlo sampling to handle the uncertainty of maps. Comparative experiments are presented to verify the efficiency of the proposed algorithm. Then, a proper number of samples is found by simulation to balance the accuracy and the time cost of Monte Carlo sampling. © 2023 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Day-ahead Chance-constrained Energy Management of Energy Hubs:A Distributionally Robust Approach

引用

CSEE Journal of Power and Energy systems 2022年第3期8卷 812-825页

作者： Jiaxin Cao Bo Yang Shanying Zhu Chao Ning Xinping Guan Department of Automation Shanghai Jiao Tong UniversityShanghai200240China Key Laboratory of System Control and Information Processing Ministry of Education of China Robert Frederick Smith School of Chemical and Biomolecular Engineering Cornell UniversityIthacaNY 14853 USA

The day-ahead management schedules of hybrid energy hubs are intricate and usually exposed to various uncertainties with the penetration of renewable sources and different ***,it is difficult to access to precise probability distribution functions and exact moment information of uncertain *** cope with these issues,an energy management scheme based on the distributionally robust optimization approach is developed for the energy *** makes no assumptions of certain probability distributions and can be implemented with limited empirical data and partial information of underlying *** operational strategy can provide decision makers with a preliminary and robust optimal solution in the day-ahead *** results illustrate the economical benefit of the energy model,and the effectiveness of the proposed approach in chance-constrained energy management is demonstrated by comparing with other *** Terms-Chance constraint,distributionally robust optimization,energy hub,energy management.

关键词： Chance constraint distributionally robust optimization energy hub energy management

来源：评论

学校读者我要写书评

暂无评论

A Core Loss Estimation Method Based on Data-driven Technology with Multi-head Attention Mechanism

A Core Loss Estimation Method Based on Data-driven Technolog...

引用

International Conference on Power Electronics and Motion control (IPEMC)

作者： Bowen Su Kai Sun Min Yang Yunhao Xiao Kai Zhang Bo Liu Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University

ISBN: (数字)9798350351330

ISBN: (纸本)9798350351347

Magnetic components play an important role in power electronic equipment, but there is still lack of accurate magnetic core loss estimation model. The data-driven methods are well-developed in recent years, and they are also more robust and accurate than conventional model-driven methods like Steinmetz Equation (SE) and improved Generalized Steinmetz Equation (iGSE). However, existing data-driven methods often focus on single excitation waveform like sinusoidal excitation waveform, which is not robust enough when facing complex excitation waveform with many high-frequency harmonic waveform. This paper presents a data-driven model based on attention mechanism which can capture the inner relationship within the input excitation waveform to present a more accurate core loss estimation results. And the comparison results with Multi-layer Perceptron (MLP) and Long Short-Term Memory(LSTM) models indicates that the proposed model has much more accuracy when facing complex excitation waveform. The proposed model can help to design magnetic components.

关键词： Analytical models Accuracy Computational modeling Magnetic cores Core loss Estimation Process control

来源：评论

学校读者我要写书评

暂无评论

Joint Optimization of Charging Infrastructure Placement and Operational Schedules for a Fleet of Battery Electric Trucks

Joint Optimization of Charging Infrastructure Placement and ...

引用

American control Conference (ACC)

作者： Juan Pablo Bertucci Theo Hofman Mauro Salazar Department of Mechanical Engineering Control System Technology Eindhoven University of Technology Eindhoven MB The Netherlands

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

This paper examines the challenges and requirements for transitioning logistic distribution networks to electric fleets. To maintain their current operations, fleet operators need a clear understanding of the charging infrastructure required and its relationship to existing power grid limitations and fleet schedules. In this context, this paper presents a modeling framework to optimize the charging infrastructure and charging schedules for a logistic distribution network in a joint fashion. Specifically, we cast the joint infrastructure design and operational scheduling problem as a mixed-integer linear program that can be solved with off-the-shelf optimization algorithms providing global optimality guarantees. For a case study in the Netherlands, we assess the impact of different parameters in our optimization problem, specifically, the allowed deviation from existing operations with conventional diesel trucks and the cost factor for daily peak energy usage. We examine effects on infrastructure design and power requirements, comparing our co-design algorithm with planned infrastructure solutions. The results indicate that current charging and electric machine technologies for trucks can perform the itineraries of conventional trucks for our case study, but to maintain critical time requirements and navigate grid congestion co-design can have a significant impact in reducing total cost of ownership (average 3.51 % decrease in total costs compared to rule-based design solutions).

关键词： Schedules Costs Power demand Navigation Electric machines Distribution networks Scheduling

来源：评论

学校读者我要写书评

暂无评论

Analytic Mechanism for the Cumulative Effect of Wind Power Fluctuations from Single Wind Farm to Wind Farm Cluster

引用

CSEE Journal of Power and Energy systems 2022年第5期8卷 1290-1301页

作者： Gang Mu Fangze Wu Xiaoping Zhang Ziheng Fu Bai Xiao Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China Department of Electronic Electrical and Systems EngineeringSchool of EngineeringUniversity of BirminghamBirmingham B152TTU.K

The use of wind power is rapidly growing worldwide as a means of reducing carbon emissions for the energy *** has the world’s largest wind power installation and multiple large-scale wind farm clusters,each comprising dozens of wind *** the planning and operation of the power system,it is important to understand the power fluctuation characteristics of wind farm *** studies demonstrate that the relative power fluctuation of a wind farm cluster is less than that of a single wind *** this decreasing trend a random occurrence or does it have a regular pattern?This scientific question is addressed by investigating the mechanism of the cumulative effect of a wind farm *** this study,a cumulative model is proposed by examining the spatiotemporal relationships of wind power variations and wind farm *** gain function and critical cumulative frequency are defined as the foundations to analytically describing the cumulative *** investigating the cumulative effect mechanism,the relationship between power fluctuation and spatiotemporal parameters of the wind farm cluster are *** power fluctuation of a cluster can be predicted using the cumulative model even before it is completely *** mechanism of the cumulative effect is validated on the basis of the data of two actual wind farm clusters.

关键词： Analytic mechanism cumulative effect evolution regularity wind farm cluster wind power fluctuation

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：