检索结果-内蒙古大学图书馆

2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Xu, Ruijie Chen, Shichao Sun, Wenqiao Lv, Yisheng Luo, Jialiang Tang, Ying Institute of Automation Chinese Academy of Sciences College of Information Science & Technology Beijing University of Chemical Technology The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Institute of Automation Chinese Academy of Sciences The Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Transportation and Economics Research Institute The Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited Beijing China Institute of Automation Chinese Academy of Sciences The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Institute of Automation Chinese Academy of Sciences China University of Geosciences Beijing School of Information Engineering The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Rowan University Department of Electrical and Computer Engineering Glassboro United States

ISBN: (纸本)9798350337020

Global Navigation Satellite systems (GNSS) can provide real-time positioning information for outdoor users, but cannot for indoor scenarios or heavily occluded outdoor scenarios. Strap-down Inertial Navigation system (SINS) are widely used to locate people in complex interior or heavily occluded outdoor scenarios due to its light weight and low power consumption. However, IMU of SINS are noisy, and the sampling data error is large, which is a divergence of the error with time. Therefore, it will generate a positioning accumulation error, which affects the final positioning accuracy. The problem of cumulative IMU errors is usually dealt with by Zero-Velocity Update (ZUPT). The zero-velocity detection part of basic ZUPT method usually uses a single threshold to determine the gait of pedestrian, which often has the problem of gait misjudgment and omission. To address these problems, this paper proposes a composite conditional detection method to solve the problem of misjudgment in the zero-velocity interval. In addition, we redesign the zero-velocity update algorithm and uses the Cubature Kalman filter (CKF) for pedestrian positioning error correction. The experimental results demonstrate that the proposed ZUPT method based on dual-threshold detection can better detect the interval between pedestrian motion and stationery than ones with single threshold. The zero-velocity update algorithm based on CKF has higher performance than conventional EKF and UKF methods, which constrains the cumulative error of SINS to about 0.2% of the whole walking distance. © 2023 IEEE.

关键词： Cubature Kalman Filter Inertial Pedestrian Navigation Zero-Velocity Update

来源：评论

学校读者我要写书评

暂无评论

A Reachable Set-Based Train Safety Protection Method for Virtually Coupled Trains 27

A Reachable Set-Based Train Safety Protection Method for Vir...

引用

27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： Liang, Jialei Chai, Ming Wang, Qi Xie, Dong Liu, Haoyuan Liu, Hongjie Zhang, Yong National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing100044 China Standards & Metrology Research Institute China Academy of Railway Sciences Limited Corporation Beijing100081 China Beijing Hollysys Co. Ltd. Beijing100081 China Crsc Research & Design Institute Group Co. Ltd Beijing China School of Traffic and Transportation Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9798331505929

Virtual coupling as an emerging technology has received many concerns due to its advantages of expanding railway transportation capacity and coupling flexibility according to transport demand. However, its application faces a major challenge of reducing the safe distance between trains without compromising safety. To address this issue, a relative operation-based train separation model (ROS+) has been proposed. The model reduces the safe distance between two trains by predicting the boundary of all potential time-position trajectories of the preceding train, which involves the reachability problem of a hybrid system. To reduce the range of the envelope that covers all time-position trajectories, the operation controller of the preceding train is formalized into a hybrid automaton whose reachable set can be computed. Several simulations have been designed to evaluate the performance of the model, and the results demonstrate that by applying the model, the safe distance between two virtually coupled trains can be reduced by an average of 6.48%. © 2024 IEEE.

关键词： Railroads

来源：评论

学校读者我要写书评

暂无评论

Rapid Prediction Model of Equivalent Thermal Conductivity of Plain Weave Fabric in Space Environment

SSRN

引用

SSRN 2023年

作者： Qin, Jiaxing Wu, Jiawen Mu, Lei Zhang, Biao Li, Jian Xu, Chuanlong National Engineering Research Center of Power Generation Control and Safety School of Energy and Environment Southeast University Nanjing210096 China National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing100076 China

The prediction of effective thermal conductivity of aerospace insulation materials is crucial for insulation design and radiation characteristics control of space targets. In this paper, a rapid and accurate prediction model is proposed for the effective thermal conductivity of plain weave fabrics in space environments. This model assumes that the cross-sectional shape and bending degree of yarns within aerospace fabrics remain unchanged. To represent the structural characteristics of the plain weave fabric, a dimensionless parameter called "[[EQUATION]]" is defined. numerical simulations are conducted to investigate the effects of fabric structure, temperature, and yarn thermal properties on the effective thermal conductivity of multilayer fabrics. Three parameters are identified as the most influential factors for the effective thermal conductivity of plain weave fabrics: the structural parameter [[EQUATION]], and the axial and radial thermal conductivities of yarns. Based on extensive simulation data, an empirical formula is proposed for the rapid prediction of the effective thermal conductivity of plain weave fabrics. Moreover, polyester, cotton, and wool plain weave fabric samples are tested for their thermal conductivity in a vacuum environment. The predicted results from the empirical formula proposed in this study exhibit a deviation of less than 6% when compared to experimental measurements. This study can provide valuable insights for the design of plain weave fabrics used in aerospace insulation materials. © 2023, The Authors. All rights reserved.

关键词： Yarn

来源：评论

学校读者我要写书评

暂无评论

Record High Temperatures in the Ocean in 2024

引用

Advances in Atmospheric Sciences 2025年第6期42卷 1092-1109页

作者： Lijing CHENG John ABRAHAM Kevin E.TRENBERTH James REAGAN Huai-Min ZHANG Andrea STORTO Karina VON SCHUCKMANN Yuying PAN Yujing ZHU Michael E.MANN Jiang ZHU Fan WANG Fujiang YU Ricardo LOCARNINI John FASULLO Boyin HUANG Garrett GRAHAM Xungang YIN Viktor GOURETSKI Fei ZHENG Yuanlong LI Bin ZHANG Liying WAN Xingrong CHEN Dakui WANG Licheng FENG Xiangzhou SONG Yulong LIU Franco RESEGHETTI Simona SIMONCELLI Gengxin CHEN Rongwang ZHANG Alexey MISHONOV Zhetao TAN Wangxu WEI Huifeng YUAN Guancheng LI Qiuping REN Lijuan CAO Yayang LU Juan DU Kewei LYU Albertus SULAIMAN Michael MAYER Huizan WANG Zhanhong MA Senliang BAO Henqian YAN Zenghong LIU Chunxue YANG Xu LIU Zeke HAUSFATHER Tanguy SZEKELY Flora GUES National Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China University of St.Thomas School of EngineeringMinnesota 55105USA NSF National Center for Atmospheric Research BoulderColorado 80307USA University of Auckland Auckland 0630New Zealand National Oceanic and Atmospheric Administration National Centers for Environmental InformationSilver SpringMaryland 20910USA National Oceanic and Atmospheric Administration National Centers for Environmental InformationAshevilleNC 28801USA National Research Council(CNR)Institute of Marine Sciences(ISMAR) Rome 00133Italy Mercator Ocean International Toulouse 31400France Department of Earth and Environmental Science University of PennsylvaniaPhiladelphiaPennsylvania 19104USA Institute of Oceanology Chinese Academy of SciencesQingdao 266071China National Marine Environmental Forecasting Center Ministry of Natural Resources of ChinaBeijing 100081China North Carolina Institute for Climate Studies(NCICS) North Carolina State UniversityAshevilleNC 28804USA Oceanographic Data Center Chinese Academy of SciencesQingdao 266071China College of Oceanography Hohai UniversityNanjing 210098China National Marine Data and Information Service Tianjin 300171China Istituto Nazionale di Geofisica e Vulcanologia Sede di BolognaBologna 40128Italy South China Sea Institute of Oceanology Chinese Academy of SciencesGuangzhou 510301China ESSIC/CISESS-MD University of MarylandCollege ParkMD 20740USA Computer Network Information Center Chinese Academy of SciencesBeijing 100083China Eco-Environmental Monitoring and Research Center Pearl River Valley and South China Sea Ecology and Environment AdministrationMinistry of Ecology and EnvironmentGuangzhou 510611China National Meteorological Information Center China Meteorological AdministrationBeijing 100081China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China Xiamen Universit

Heating in the ocean has continued in 2024 in response to increased greenhouse gas concentrations in the atmosphere,despite the transition from an El Ni?o to neutral conditions. In 2024, both global sea surface temperature(SST) and upper2000 m ocean heat content(OHC) reached unprecedented highs in the historical record. The 0–2000 m OHC in 2024exceeded that of 2023 by 16 ± 8 ZJ(1 Zetta Joules = 1021 Joules, with a 95% confidence interval)(IAP/CAS data), which is confirmed by two other data products: 18 ± 7 ZJ(CIGAR-RT reanalysis data) and 40 ± 31 ZJ(Copernicus Marine data,updated to November 2024). The Indian Ocean, tropical Atlantic, Mediterranean Sea, North Atlantic, North Pacific, and Southern Ocean also experienced record-high OHC values in 2024. The global SST continued its record-high values from2023 into the first half of 2024, and declined slightly in the second half of 2024, resulting in an annual mean of 0.61°C ±0.02°C(IAP/CAS data) above the 1981–2010 baseline, slightly higher than the 2023 annual-mean value(by 0.07°C ±0.02°C for IAP/CAS, 0.05°C ± 0.02°C for NOAA/NCEI, and 0.06°C ± 0.11°C for Copernicus Marine). The record-high values of 2024 SST and OHC continue to indicate unabated trends of global heating.

关键词： ocean heat content sea surface temperature ocean temperature global warming climate

来源：评论

学校读者我要写书评

暂无评论

Online Optimization Method for Virtually Coupled Train Operation Deviation from Reference Curve

Online Optimization Method for Virtually Coupled Train Opera...

引用

IEEE International Conference on Networking, Sensing and control

作者： Yinghui Lang Hongjie Liu Yanli Liao Bosi Li Yihan Wang Ming Chai School of Automation and Intelligence Beijing Jiaotong University Beijing China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China Beijing Hollysys System Engineering Co. Ltd. Xi'an Branch Xi'an China

ISBN: (数字)9798350365221

ISBN: (纸本)9798350365238

Virtually coupled train set (VCTS) has become a popular research topic in the railway industry in recent years. It is considered one of the solutions to the uneven spatial and temporal distribution of passenger flow in urban rail transit. A VCTS consists of multiple train units (TUs). The overall operation of the VCTS relies on the coordinated efforts of each TU. A feasible approach involves pre-planning reference curves for the TUs, with the Automatic Train Operation (ATO) system tracking these curves. However, as the TUs operate at close intervals, the control strategy needs to ensure safety and precise control. Consequently, the reference curve of the TU is characterized by frequent changes in acceleration. As a result, the ATO system is prone to deviating from the curve. This paper builds a time-varying vehicle dynamics model and a controller performance model based on data learning. Using these models, we predict deviations and construct an online optimization model. A mesh adaptive direct search (MASD) algorithm is designed to solve for online adjustment curves, promptly correcting any deviations. Simulation experiments demonstrate the effectiveness of the proposed online optimization method when combined with PID and MPC alzorithms.

关键词： Rails Adaptation models Optimization models Heuristic algorithms Prediction algorithms Data models Sensors Safety Vehicle dynamics Time-domain analysis

来源：评论

学校读者我要写书评

暂无评论

A reasoning diagram based method for fault diagnosis of railway point system

引用

High-Speed Railway 2023年第2期1卷 110-119页

作者： Feng Wang Yuan Cao Clive Roberts Tao Wen Lei Tan Shuai Su Tao Tang State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong UniversityBeijing 100044China National Engineering Research Center of Rail Transportation Operation and Control System School of Electronic and Information EngineeringBeijing Jiaotong UniversityBeijing100044China Birmingham Centre for Railway Research and Education University of BirminghamBirmingham B152TTUK School of Electronic and Information Engineering Beijing Jiaotong UniversitBeijing 100044China Fronters Science Center or Smart High-speed Raiway Systm Beijing Jiotong Univers Beijing 00044China

Railway Point system(RPS)is an important infrastructure in railway industry and its faults may have significant impacts on the safety and efficiency of train *** the fault diagnosis of RPS,most existing methods assume that sufficient samples of each failure mode are available,which may be unrealistic,especially for those modes of low occurrence frequency but with high *** address this issue,this work proposes a novel fault diagnosis method that only requires the power signals generated under normal RPS operations in the training ***,the failure modes of RPS are distinguished through constructing a reasoning diagram,whose nodes are either binary logic problems or those that can be decomposed into the problems of the binary ***,an unsupervised method for the signal segmentation and a fault detection method are combined to make decisions for each binary logic *** on the results of decisions,the diagnostic rules are established to identify the failure ***,the data collected from multiple real-world RPSs are used for validation and the results demonstrate that the proposed method outperforms the benchmark in identifying the faults of RPSs.

关键词： Railway point system Fault diagnosis Reasoning diagram Segmentation Detection method

来源：评论

学校读者我要写书评

暂无评论

Toward Intelligent Machine Tool

引用

engineering 2019年第4期5卷 679-690页

作者： Jihong Chen Pengcheng Hu Huicheng Zhou Jianzhong Yang Jiejun Xie Yakun Jiang Zhiqiang Gao Chenglei Zhang National Numerical Control System Engineering Research Center Huazhong University of Science and TechnologyWuhan 430074China

With the development of modern information technology-and particularly of the new generation of artificial intelligence(AI)technology-new opportunities are available for the development of the intelligent machine tool(IMT).Based on the three classical paradigms of intelligent manufacturing as defined by the Chinese Academy of engineering,the concept,characteristics,and systemic structure of the IMT are presented in this *** stages of machine tool evolution-from the manually operated machine tool(MOMT)to the IMT-are discussed,including the numerical control machine tool(NCMT),the smart machine tool(SMT),and the ***,the four intelligent control principles of the IMT-namely,autonomous sensing and connection,autonomous learning and modeling,autonomous optimization and decision-making,and autonomous control and execution-are presented in *** paper then points out that the essential characteristic of the IMT is to acquire and accumulate knowledge through learning,and presents original key enabling technologies,including the instruction-domain-based analytical approach,theoretical and big-data-based hybrid modeling technology,and the double-code control *** on this research,an intelligent numerical control(INC)system and industrial prototypes of IMTs are *** intelligent practices are conducted,demonstrating that the integration of the new generation of AI technology with advanced manufacturing technology is a feasible and convenient way to advance machine tools toward the IMT.

关键词： Intelligent manufacturing Intelligent machine tool Intelligent numerical controller New-generation artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Optimization of Energy-Saving Operation Strategy for Virtual Coupling based on DDPG

Optimization of Energy-Saving Operation Strategy for Virtual...

引用

Chinese Automation Congress (CAC)

作者： Wenbo Lv Hongjie Liu Yinghui Lang Xiaolin Luo School of Electronics and Information Engineering Beijing Jiaotong University Beijing China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China

Virtual coupling has emerged as a prominent research focus in the railway industry in recent years. At present, the existing research on synchronous operation of virtually coupled trains focuses on synchronization but neglects energy-saving. In pursuit of minimizing energy consumption, while ensuring synchronous operation, a virtual coupling speed curve optimization method based on deep deterministic policy gradient (DDPG) is proposed. Firstly, the virtually coupled trains are considered to build an optimization model aiming at energy-saving, synchronous parking, synchronous departure and on-time operation. Secondly, considering the characteristics of high state dimension and difficult solution of optimization model, a speed curve solving algorithm based on DDPG is designed. The optimal speed curve is considered a benchmark or reference for virtually coupled trains. Finally, the results of numerical experimental using the data of Beijing Metro Line demonstrate that the proposed method can reduce the traction energy consumption by 5.8% and the arrival time difference by 50%. In comparison to with genetic algorithms (GA), the optimization results are more energy-efficient and synchronous.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Robust Global Exponential Stability of Fuzzy Neural Networks with Bis-Disturbances

Robust Global Exponential Stability of Fuzzy Neural Networks...

引用

Chinese Automation Congress (CAC)

作者： Wenxiao Si Shigen Gao Wanqi Tian School of Electronic and Information Engineering Beijing Jiaotong University Beijing China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China

This paper provides a sufficient criterion guaranteeing the robust global exponential stability (RGES) of fuzzy neural networks (FNN) with bis-disturbances, i.e., derivative contraction coefficients and piecewise constant arguments. By using the generalized Gronwall inequality and modular inequality, the upper bound of bis-disturbances is derived by solving the binary implicit transcendental equation as well as external spontaneous constraints respectively, ensuring the primitive stable FNN can be stable again in the presence of external bis-disturbances. Furthermore, the feasible boundary derived from the established criterion can guarantee that the mutual restraint and dynamic interconnection effects between the bis-disturbances that allow the system to be stable again can occur instead of being independent. Finally, the validity of the derived theoretical results is verified by simulation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Virtually coupled train set control subject to space-time separation:A distributed economic MPC approach with emergency braking configuration

引用

High-Speed Railway 2024年第3期2卷 143-152页

作者： Xiaolin Luo Tao Tang Le Wang Hongjie Liu State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong UniversityBeijing 100044China Department of Electrical and Computer Engineering University of CaliforniaRiversideCA 92521USA Beijing Zongheng Electro-Mechanical Technology Development Co. Ltd.Beijing 100081China School of Automation and Intelligence Beijing Jiaotong UniversityBeijing 100044China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong UniversityBeijing 100044China

The emerging virtual coupling technology aims to operate multiple train units in a Virtually Coupled Train Set(VCTS)at a minimal but safe *** guarantee collision avoidance,the safety distance should be calculated using the state-of-the-art space-time separation principle that separates the Emergency Braking(EB)trajectories of two successive units during the whole EB *** this case,the minimal safety distance is usually numerically calculated without an analytic ***,the constrained VCTS control problem is hard to address with space-time separation,which is still a gap in the existing *** solve this problem,we propose a Distributed Economic Model Predictive control(DEMPC)approach with computation efficiency and theoretical ***,to alleviate the computation burden,we transform implicit safety constraints into explicitly linear ones,such that the optimal control problem in DEMPC is a quadratic programming problem that can be solved *** theoretical analysis,sufficient conditions are derived to guarantee the recursive feasibility and stability of DEMPC,employing compatibility constraints,tube techniques and terminal ingredient ***,we extend our approach with globally optimal and distributed online EB configuration methods to shorten the minimal distance among ***,experimental results demonstrate the performance and advantages of the proposed approaches.

关键词： Virtually coupled train set Space-time separation Economic model predictive control Distributed model predictive control Emergency braking configuration

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：