检索结果-内蒙古大学图书馆

American Control Conference (ACC)

作者： Qi Mao Dan Ma Yanling Ding Hui Peng Jie Chen Department of Electrical Engineering City University of Hong Kong Hong Kong China College of Information Science and Engineering State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China School of Automation Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of Technology Guangzhou China

This paper concerns robust consensus problems for continuous-time first-order multi-agent systems with respect to uncertain gain and phase of the agent’s frequency response varying within certain ranges. We consider dynamic output feedback control protocol in the form of proportional-integral (PI) control. The agents can in general be nonminimum phase and unstable systems, which are interconnected by an undirected graph network. We seek to determine the largest ranges of gain and phase variations, referred to as the gain consensus margin (GCM) and the phase consensus margin (PCM), respectively, so that consensus can be achieved robustly within these ranges. Our main results consist of explicit analytical expressions of the GCM and PCM, which demonstrate how the agent’s unstable pole and nonminimum phase zero, as well as the network connectivity may fundamentally confine the gain and phase variation ranges so that consensus can or cannot be maintained.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Grade Monitoring using Semantic Features of Flotation Froth Image

Grade Monitoring using Semantic Features of Flotation Froth ...

引用

第34届中国控制与决策会议

作者： Xu Wang Jingmin Lian Daoxi Liu Yutian Lei School of Information Science and Engineering Northeastern University BGRIMM Technology Group State Key Laboratory of Process Automation in Mining & Metallurgy

In the industrial flotation circuits,grades are the key performance indicators for flotation condition recognition and *** based on machine vision is an effective tool for grade monitoring,and froth image feature extraction as a model input plays a crucial *** the low efficiency of hand-crafted features and the poor interpretability of high-dimensional features extracted by convolutional neural networks,a grade monitoring method with human-understandable semantic features as input is proposed in this ***,based on the combination of generative adversarial networks and encoder,we design a new network structure that maps the froth images data space to the latent semantic *** the semantic features of froth images can be automatically extracted by decomposing the constructed matrix with rich latent ***,as demonstrated in the industrial experiment,the extracted semantic features can not only be visually interpreted but also can be effectively used in grade monitoring.

关键词： Grade Monitoring Generative Adversarial Networks Semantic Feature Extraction Flotation Froth Image

来源：评论

学校读者我要写书评

暂无评论

Low PAPR FBMC-OQAM System Based on Data Mapping and DFT Spreading

引用

IEEE Internet of Things Journal 2025年第12期12卷 22311-22324页

作者： Li, Liming Zhang, Jiliang Ding, Liqin Wang, Yang Zhang, Haining NingboTech University School of Information Science and Engineering Ningbo315100 China Harbin Institute of Technology Department of Electronic and Information Engineering Shenzhen518055 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries College of Information Science and Engineering Shenyang110819 China Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Nankai University College of Software Tianjin300350 China

Filter bank multicarrier with offset quadrature amplitude modulation (FBMC-OQAM) is considered as a promising waveform for Internet of Things (IoT) due to its capability to mitigate interference among asynchronous users. However, as a multicarrier technique, the FBMC-OQAM signal also has a high peak-to-average power ratio (PAPR), which is detrimental to low-power transmission. To address this issue, this paper proposes a novel discrete Fourier transform (DFT)-spread scheme to exhaustively reduce the PAPR of the FBMC-OQAM signal. In this scheme, the transmitting data symbols are first mapped with a conjugate symmetry rule and then coded by the DFT. Using this method, the preprocessing step in FBMC-OQAM that involves separating the real and imaginary parts of the quadrature amplitude modulation (QAM) symbols can be avoided. Compared with existing DFT-spread FBMC-OQAM schemes, the proposed scheme demonstrates better PAPR performance while maintaining equivalent spectral efficiency. Additionally, the computational complexity of the proposed scheme experiences only a slight increase, thereby preserving a relatively low computational burden. Numerical simulation results validate the effectiveness of the proposed scheme. Furthermore, the effect of the prototype filter on the PAPR is investigated, and a trade-off exists between the PAPR and out-of-band performance. © 2014 IEEE.

关键词： Quadrature amplitude modulation

来源：评论

学校读者我要写书评

暂无评论

Plasma-Enhanced Synthesis of Nitrogen-Doped Silicon Carbide Nanopowders in a Fluidized-Bed Reactor for High-Performance Lithium-Ion Battery Anodes

SSRN

引用

SSRN 2025年

作者： Wang, Zihao Lei, Zewei Hong, Ruoyu Li, Ming-Lin He, Xianfeng College of Chemical Engineering Fuzhou University Fuzhou350108 China School of Mechanical Engineering and Automation Fuzhou University Fuzhou350108 China International Joint Laboratory on Intelligent Sensing and Robotics Fuzhou University Fuzhou China School of Chemical Engineering University of Chinese Academy of Sciences Beijing101408 China State Key Laboratory of Mesoscience and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China

Ultrafine silicon carbide (SiC) powders have garnered increasing attention due to their vast potential for diverse applications. In this study, we developed a plasma-enhanced fluidized bed reactor to crack hexamethyldisilane (HMDS), thereby producing SiC/NC composites with diameters ranging from 10 to 20 nm. This method enables large-scale and sustainable production of SiC/NC composites. Concurrently, nitrogen doping was achieved by introducing ammonia during the plasma process, which increased material defects and thus enhanced electrical conductivity. Moreover, the abundant hydrogen atoms in ammonia modulated the product properties, as evidenced by reduced particle size, enhanced crystallinity, and decreased free-carbon content. The synthesized composites were applied as anodes in lithium-ion batteries, and their feasibility was confirmed through extensive testing. Notably, SiC-150 exhibited a discharge capacity of 413 mAh g-1 after 200 cycles at 0.1 A g-1 and maintained a high specific capacity of 780 mAh g-1 even after 800 cycles at 0.5 A g-1. © 2025, The Authors. All rights reserved.

关键词： Ammonia

来源：评论

学校读者我要写书评

暂无评论

Small Object Detection Algorithm Based on RPANet and Positional Convolution Attention Mechanism 5

Small Object Detection Algorithm Based on RPANet and Positio...

引用

5th International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2022

作者： Tang, Zongbing Yang, Dan Qu, Junsuo School of Communication and Information Engineering Xi'an University of Posts and Telecommunications China School of Automation Xi'an Key Laboratory of Advanced Control and Intelligent Process Xi'an Robertic Intelligent Systems International Science and Technology Cooperation Base Xi'an University of Posts and Telecommunications Shaanxi Xi'an China

ISBN: (纸本)9781450396899

With the development of deep learning, small object detection has a significant role in application fields such as smart factories and remote sensing images. In order to address the problem of difficult and low accuracy detection of small objects due to small pixel scale and little feature information. In this paper, we present a path aggregation network with residual characteristic RPANet on YOLOv3 algorithm, which can twice use the feature information of the backbone network to enhance the small object feature information, and also offer a positional convolution attention mechanism module PCAM to thoroughly learn and extract the small object feature information as well as reduce the unnecessary feature information in the background, so as to further enhance the detection capability of the model for small objects. The experimental results demonstrate that the improved YOLOv3 algorithm is more effective for small object detection. © 2022 ACM.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Abnormal Detection Model of Energy Consumption Data in Beneficiation and Metallurgy Enterprises based on Transfer Learning

Abnormal Detection Model of Energy Consumption Data in Benef...

引用

2021 International Conference on Smart Energy and Energy Internet of Things, SEEIoT 2021

作者： Yu, Zhuchao Chu, Gaixia Zhang, Yuanzheng Zhou, Siyuan He, Shaowei Li, Jing School of Business Administration Northeastern University Shenyang China State Key Laboratory of Process Automation in Mining and Metallurgy Beijing China College of Medicine and Biological Information Engineering Northeastern University Shenyang China Qinghai XKXX Information Technology Co. LTD Xining China

The energy consumption data of beneficiation and metallurgy enterprises has the characteristics of multi-dimensional and timing. An energy consumption data anomaly detection model based on transfer learning is proposed to help enterprises monitor the abnormal energy use. The combination of transfer learning and DTW algorithm is used to eliminate the adverse impact of timing on the model, and the ensemble learning is used to realize data detection. Finally, an efficient and accurate energy consumption data anomaly detection model is formed. The detection accuracy of the model is 91.6%, which can effectively meet the requirements of enterprise energy management. © Published under licence by IOP Publishing Ltd.

关键词： Concentration (process)

来源：评论

学校读者我要写书评

暂无评论

RETRACTION: Upper Limb Rehabilitation Robot System Based on Internet of Things Remote Control

引用

IEEE ACCESS 2024年 12卷 131487-131487页

作者： Li, Xing Zhong, Junpei School of Electrical Engineering and Intelligentization Dongguan University of Technology Dongguan China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China S.M. Wu School of Intelligent Engineering South China University of Technology Guangzhou China

来源：评论

学校读者我要写书评

暂无评论

An Improved Cooperative Team Spraying Control of a Diffusion process With a Moving or Static Pollution Source

引用

IEEE/CAA Journal of Automatica Sinica 2020年第2期7卷 494-504页

作者： Juan Chen Baotong Cui Yang Quan Chen Bo Zhuang Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education)and School of IoT Engineering Jiangnan UniversityWuxi 214122China Mechatronics Embedded Systems and Automation LaboratoryUniversity of CaliforniaMerced CA 95343 USA

This paper is concerned with a control problem of a diffusion process with the help of static mesh sensor networks in a certain region of interest and a team of networked mobile actuators carrying chemical *** major contribution of this paper can be divided into three parts:the first is the construction of a cyber-physical system framework based on centroidal Voronoi tessellations(CVTs),the second is the convergence analysis of the actuators location,and the last is a novel proportional integral(PI)control method for actuator motion planning and neutralizing control(e.g.,spraying)of a diffusion process with a moving or static pollution source,which is more effective than a proportional(P)control *** optimal spraying control cost function is ***,the minimization problem of the spraying amount is ***,a new CVT algorithm based on the novel PI control method,henceforth called PI-CVT algorithm,is introduced together with the convergence analysis of the actuators location via a PI control ***,a modified simulation platform called diffusion-mobile-actuators-sensors-2-dimension-proportional integral derivative(Diff-MAS2D-PID)is *** addition,a numerical simulation example for the diffusion process is presented to verify the effectiveness of our proposed controllers.

关键词： Centroidal Voronoi tessellations(CVTs) diffusion processes mobile actuator-sensor networks(MAS-Net) PI control

来源：评论

学校读者我要写书评

暂无评论

Design and analysis of ultra-large capacity heterogeneous nineteen-core seven-mode fiber

引用

Optik 2023年 292卷

作者： Shao, Pengshuai Ma, Liling Li, Zenghui Li, Shuguang Cheng, Tonglei Liu, Zhixue State Key Laboratory of Metastable Materials Science & Technology and Key Laboratory for Microstructural Material Physics of Hebei Province School of Science Yanshan University Qinhuangdao066004 China State Key Laboratory of Synthetical Automation for Process Industries College of Information Science and Engineering Northeastern University Shenyang110819 China

The multi-core few-mode fiber based on space division multiplexing technology is one of the critical ways to address the issue that the current single-mode fiber communication capacity has reached its maximum. However, the energy crosstalk between the cores is an important reason for the deterioration of signal quality. Consequently, this paper designs a nineteen-core seven-mode fiber with more transmission channels, and the auxiliary structures such as trench, high and low refractive index double rings, and air holes can effectively reduce intra-core crosstalk and inter-core crosstalk. After optimization, each core of the nineteen-core fiber can transmit seven LP modes, and the effective refractive index difference between adjacent modes is greater than or equal to 10−3. The optical fiber provides 228 transmission channels for the entire transmission system, the inter-core crosstalk of the highest order LP41 mode is lower than −30 dB/100 km at 1550 nm. Based on the above, the proposed optical fiber has excellent optical properties and can be applied to data centers, optical sensors, high-speed computer communication networks, and other applications. © 2023 Elsevier GmbH

关键词： Refractive index

来源：评论

学校读者我要写书评

暂无评论

A Koopman Operator-Based Finite Impulse Response Filter for Nonlinear Systems

A Koopman Operator-Based Finite Impulse Response Filter for ...

引用

IEEE Conference on Decision and Control

作者： Zhichao Pan Biao Huang Fei Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi China department of chemical and materials engineering University of Alberta Edmonton Alberta Canada

This paper proposes a novel Koopman operator-based finite impulse response (KFIR) filter for nonlinear dynamic systems. This filter is generalized from the minimum variance unbiased (MVU) FIR filter for linear systems by using a global linear approximation of the nonlinear dynamics obtained from Koopman operator theory and the extended dynamic mode decomposition (EDMD) algorithm. Based on the recursive linear model, a reduced-order FIR filtering structure is proposed, and the optimal gain is derived to minimize the trace of the estimation error covariance. Unlike traditional methods, the KFIR filter requires no prior knowledge of the initial state and fully utilizes the data of a moving horizon. Simulation results show that the proposed filter has excellent robustness against unexpected modeling uncertainties and inaccurate noise information, making it suitable for real applications.

关键词：

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：