检索结果-内蒙古大学图书馆

第41届中国控制会议

作者： Jianjun Yang Xiaolu Xu Xiaohui Yin Wenxing Liu Yi Yuan Jian Peng School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Huaxin Cement Co. Ltd

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Soft sensing mainly studies the real-time prediction of some key performance indicators or quality variables in the actual production process,which has the role of guiding production in the actual production *** stacked autoencoder is a multi-layer autoencoder *** input variables will be encoded and decoded through each layer of autoencoders,and the obtained hidden features will be retained as the input of the next *** this way,high-level data features can be successfully learned from the input layer to the intermediate *** isomorphic autoencoder reconstruct an identical data input layer,and the reconstruction is performed by minimizing the error of the decoded data from the original input ***,for a soft measurement model,some data information may also reduce the accuracy or generalization of the *** order to overcome the above shortcomings,this paper proposes a gated stacked isomorphic autoencoder,which evaluates the contribution of each hidden layer feature through the gating unit,and then integrates the information of different hidden layers to complete the prediction and estimation of related main ***,the effectiveness and feasibility of the method are verified in practical industrial cases.

关键词： Deep learning soft sensor stacked autoencoder gating unit

来源：评论

学校读者我要写书评

暂无评论

An indoor calibration light source of the transmissometers based on spatial light modulation

引用

Optoelectronics Letters 2022年第2期18卷 65-71页

作者： LIANG Jing ZHANG Guoyu ZHANG Jian XU Da CHONG Wei SUN Jiliang School of Opto-Electronic Engineering Changchun University of Science and TechnologyChangchun 130022China1 Opto-Electronic Measurement and Control Instrumentation Jilin Province Engineering Research CenterChangchun 130022China Key Laboratory of Opto-Electronic Measurement and Optical Information Transmission Technology Ministry of EducationChangchun 130022China Meteorological Observation Center China Meteorological AdministrationBeijing 100081China

Aiming at the problem that the calibration results of the transmissometers cannot be traced to the meteorological optical range(MOR) defined by the World Meteorological Organization(WMO). We designed an indoor calibration light source of the transmissometers based on spatial light modulation, focusing on the design of a non-intersecting CzernyTurner spectroscopic system which achieved a spectral resolution of less than 1 nm in the range from 380 nm to 780 nm. Then, the calibration light source’s spectrum matching model is established and the digital micromirror device(DMD)’s surface illuminance distribution law is simulated and analyzed. Finally, the MOR error of the calibrated light source is inverted. The results show that the simulation spectrum error of the 2 700 K absolute color temperature is below ±7.4% in the wavelength range from 380 nm to 780 nm, and the MOR error meets the requirements of the International Civil Aviation Organization in 40-2 000 m of MOR.

关键词： source light error

来源：评论

学校读者我要写书评

暂无评论

Topology Identification for Distribution systems Based on Bayesian Nonparametric Model and Gaussian Mixture Ensemble Kalman Filter

Topology Identification for Distribution Systems Based on Ba...

引用

Power and Electrical engineering (ACPEE), 5th Asia Conference on

作者： Tingting Zhang Wen Zhang School of Control Science and Engineering Shandong University Jinan China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

To ensure the secure and reliable operation of active distribution systems (ADSs), it is essential to efficiently and accurately identify their time-varying topology. This paper proposes an estimation-based topology identification (TI) method for ADSs considering topology changes. The TI problem is formulated by a forecasting-aided estimation model, which is depicted by a discrete-time switching state-space model. The topology change process is described by a Bayesian nonparametric model that allows TI with limited knowledge of topology libraries. Then the Gaussian mixture ensemble Kalman filter (GM-EnKF) is employed to carry out the TI, where the underlying probability density is approximated by using Gaussian mixture model. In this case, the proposed method become capable of handling the unavoidable non-Gaussian noises in realistic distribution systems. Test results on various ADSs validates the effectiveness of the proposed GM-EnKF-based TI method on accurate and efficient topology identification.

关键词： Noise Estimation Termination of employment Switches Predictive models Topology Bayes methods

来源：评论

学校读者我要写书评

暂无评论

Online Identification of Boost Converter Components with Multiple Updating RLS Algorithm

Online Identification of Boost Converter Components with Mul...

引用

第42届中国控制会议

作者： Tong Zhou Zhicheng Zhang Zhiqiang Zuo Yijing Wang Peng Li Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System School of Electrical and Information EngineeringTianjin University Key Laboratory of System Control and Information Processing Ministry of Education

In this paper,component parameters of the boost converter are identified online using a multiple updating recursive least squares(MURLS) *** component parameters,such as resistance,inductor inductance and capacitor capacitance,are obtained directly through the identification procedure rather than transfer function *** MURLS algorithm is applied to improve the rapidity of system identification compared to the traditional recursive least squares(RLS) algorithm,which is verified by a comparative simulation between MURLS and RLS and the simulation of a load-switching scenario.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Cross-border Data Security Risk Analysis and Development Suggestions of the Protection Technologies for Intelligent Connected Vehicles

Cross-border Data Security Risk Analysis and Development Sug...

引用

Information Science, Parallel and Distributed systems (ISPDS), International Conference on

作者： Xiaolong Huang Chongshi Xin Haojie Ji Wangdong Lu Peng He Yupeng Chen State Key Laboratory of Intelligent Vehicle Safety Technology Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science& Technology University Beijing China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science& Technology University Beijing China China Automotive Engineering Research Institute Co. Ltd Chongqing China

ISBN: (数字)9798350352719

ISBN: (纸本)9798350352726

In recent years, intelligent connected vehicles (ICVs) have developed quickly and have been progressively introduced into the international market. Nevertheless, the operation of ICVs produces a large amount of important data coming from driving vehicle and necessitating cross-border transit. As the imperfections of the regulatory framework and the infancy of protective solutions for the ICV data, these data are vulnerable to the threats like eavesdropping and tampering during cross-border transmission. The private information, especially the data barred from leaving the country, will be probably leaked to other nations, endangering individual privacy and national security. Thus, the purpose of this manuscript is to analyze the security risks of cross-border data in ICVs and provide risk mitigation strategies. The legal requirements and pertinent cross-border materials need to be sorted out firstly to establish a thorough technical process for cross-border compliance of ICV data. Additionally, the ICV data risk analyses will be performed at every stage of the cross-border process. Furthermore, some efficient risk mitigation methods need to be offered to improve the security and dependability of the across-border data of ICVs. To address the problems associated with cross-border data pertaining to ICVs, a classification method for the cross-border data of ICVs will be presented according to current rules and data categorization schemes. Finally, this manuscript provides theoretical underpinnings and useful references for building a cross-border data security protection system, as well as a thorough analysis of the development patterns of cutting-edge technologies for cross-border data.

关键词： Technological innovation Connected vehicles Law Data security Solids Risk analysis Protection

来源：评论

学校读者我要写书评

暂无评论

Spatial-Temporal-Rule-based Traffic Movement Status Interpretation at Intersections *

Spatial-Temporal-Rule-based Traffic Movement Status Interpre...

引用

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

作者： Zhuang, Hanyang Gao, Liyang Qian, Yeqiang Wang, Chunxiang Yang, Ming University of Michigan Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai200240 China 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

ISBN: (纸本)9798350327182

Traffic light is the most significant component of road transportation. Traffic lights control the traffic movement at intersections by allowing the movement of some lanes and forbidding that of the others to ensure safety and efficiency. It is important for intelligent vehicles to understand the meaning of traffic lights. Conventional research works on traffic light detection and tracking consider each light independently, so the occlusion of some lights may mislead the decision of the vehicle. Since all traffic lights at an intersection work together, it is more essential to understand the traffic movement status controlled by the traffic lights rather than the perception of a single light. Therefore, this paper proposes a spatial-temporal-rule-based framework to interpret the current traffic movement status and predict the next status. The spatial information, including position and class, is obtained by traffic light detection. The temporal information is perceived by the proposed topologic-feature-based tracking method. The rule information is recognized by combination of spatial and temporal information. A dual-view camera system consisting of a telephoto camera and a wide-angle camera is adopted to ensure long perception distance and wide coverage simultaneously. The successful tracking of traffic lights from 200 m to 10 m away provides enough data to recognize the phase-change rule, which leads to correct interpretation and prediction. A customized dataset was collected, and experiments were conducted to illustrate the capability of the proposed method. © 2023 IEEE.

关键词： Cameras

来源：评论

学校读者我要写书评

暂无评论

State-of-Charge Balancing control for Battery Energy Storage systems of Near-Space Vehicles with An Electric-Thermal-Aging Coupling Model

State-of-Charge Balancing Control for Battery Energy Storage...

引用

第42届中国控制会议

作者： Zhiqiang Zuo Yunhao Du Yijing Wang Zhicheng Zhang Peng Li Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System School of Electrical and Information Engineering Tianjin University Key Laboratory of System Control and Information Processing Ministry of Education

State-of-charge(SoC) balancing is crucial for improving the efficiency and lifetime of the battery energy storage system in near-space vehicles. In this paper, the So C balancing control problem is investigated by a coupling battery model with electric-thermal-aging dynamics. Firstly, a system identification experiment is carried out to obtain the internal parameters of the battery. Secondly, a weight optimization index is designed by integrating the balancing speed and battery state-of-health(SoH). Then, a receding horizon control algorithm is proposed to realize multi-unit battery SoC balancing with partial swarm optimization(PSO). Finally, the effectiveness of the proposed strategy is verified by simulation results.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Explicit Predictive control of Forward DC-DC Converter Based on an Input-Mapping Method

Explicit Predictive Control of Forward DC-DC Converter Based...

引用

第43届中国控制会议

作者： Xiang Gu Dewei Li Aoyun Ma Yaru Yu Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

In the practical application of model predictive control in power electronics, both online computational burden and model accuracy are crucial. This paper presents an explicit model predictive control method based on input-mapping *** address the issue of parameter drift in the forward DC-DC converter system, the input-mapping method is introduced to compensate for model deviations using historical data. Firstly, the average model of the forward DC-DC converter system is introduced. For the control objective of voltage tracking, an explicit predictive control using the incremental model is ***, input-mapping method is integrated with explicit predictive control. During offline computation, analytical forms of the input-mapping combination coefficients and the optimal solution function of explicit model predictive control are *** computation of combination coefficients is conducted to obtain the optimal solution rapidly. The effectiveness of the proposed method is verified through simulations in MATLAB.

关键词： Forward DC-DC converter explicit model predictive control input-mapping method

来源：评论

学校读者我要写书评

暂无评论

Remote Sensing Image Object Detection Based on Improved Sparse R-CNN

Journal of Network Intelligence

引用

Journal of Network Intelligence 2023年第4期8卷 1303-1320页

作者： Zhao, Li-Quan Chen, Chun-Lu Zhong, Tie Cui, Ying Jia, Yan-Fei Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China School of Electric Power Engineering Northeast Electric Power University Jilin 132012 China Zhuhai Power Supply Bureau Guangdong Electric Power Corporation Zhuhai 519000 China School of Electrical and Information Engineering Beihua University Jilin 132013 China

A more precise sparse region convolutional neural network algorithm is developed to increase the accuracy of remote sensing object recognition. Firstly, a new intersection over union method is proposed to solve the problem that the intersection over union used in sparse region convolutional neural network cannot well measure the offset between the ground-truth box and the proposal box. It introduces multiple geo-metric factors that are overlap area, center point distance, vertex distance between the ground-truth box and the proposal box, and diagonal distance of minimum enclosing of the ground-truth box and the proposal box and into the new intersection over union. The proposed intersection over union can measure the offset between the ground-truth box and the proposal box to optimal the proposal box. Secondly, to improve the detection precision of sparse region convolutional neural network, a dual branches dynamic instance interaction head is designed. The proposed dynamic interaction head consists of a fully connected branch and a convolution branch. The fully connected head is used for both bounding box regression and object classification. The convolution branch is only used for bounding box regression. Compared with original sparse region convolutional neural network, the average mAP and recall are 3.55% and 5.75% higher, and the average detection speed is only 0.85 FPS slower. The proposed method realizes balance between detection precision and detection speed. © 2023, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Remote sensing

来源：评论

学校读者我要写书评

暂无评论

Current Status and Future Perspectives of the Active Knee Joint Rehabilitation Device

引用

Recent Patents on engineering 2022年第4期16卷 11-29页

作者： Jiang, Jingang Gao, Ziwen Song, Shichang Yu, Xiaoyang Zeng, Yang Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education Harbin University of Science and Technology Harbin150080 China School of International Studies Harbin Institute of Technology Harbin150001 China School of Measurement-Control Tech and Communications Engineering Harbin University of Science and Technology Harbin150080 China

Background: Today, living standards and medical technology are improving, and the aging global population is increasing. However, more and more older adults are suffering from knee diseases. This will seriously affect patients’ daily life and their mental state. In many studies, repeti-tive physical exercises and motor activities in real-world environments have been shown to help im-prove knee muscle strength and restore damaged nerves. Therefore, physical knee therapy is very nec-essary. The use of rehabilitation training devices for movement therapy has shown great potential. Objective: This study aimed at exploring the structural features, functions, and development status of the knee rehabilitation training device. Methods: This review explores the structure and function of various current knee rehabilitation devices based on structural and kinematic properties of the knee joint in relation to requirements of physical knee rehabilitation. This paper aims to present a systematic guideline and outline a refer-ence for future designers of rehabilitation devices. Results: By analyzing the structure and movement of the knee joint and combining the strategies of physical knee rehabilitation, movement requirements during knee rehabilitation training are con-cluded. According to the structure, drive form, transmission mode, and rehabilitation environment of knee rehabilitation devices, the devices are classified and compared;some typical features are summarized;some current problems are analyzed, and the future trends and development directions of rehabilitation devices are discussed. Conclusion: Current rehabilitation equipment has a variety of structures and functions, but a good balance between weight and volume is hardly maintained. The protection of the body needs to be further improved. Many knee rehabilitation devices are only concepts, not physical objects, and lack clinical trial data. Power sources and drives are large and heavy, which can compress the knee jo

关键词： Digital storage

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：