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检索条件"机构=Control and Automation Engineering"
15917 条 记 录,以下是4921-4930 订阅
排序:
Intelligent fault detection and analysis based on support vector machine and applications to Aeroengine
Intelligent fault detection and analysis based on support ve...
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Chinese control and Decision Conference, CCDC
作者: Hongquan Ren Quan-Yong Fan Xuekui Song Hongxia Li School of Automation Northwestern Polytechnical University Xian China Ansteel Engineering Technology Corporation Limited Anshan China North Automatic Control Technology Institute Taiyuan China
In this paper, the problem of intelligent fault detection for switched systems is investigated based on SVM. In order to illustrate the ability of SVM in distinguishing normal and faulty systems, a model-based analysi... 详细信息
来源: 评论
TSN-GReID: Transformer-based Siamese Network for Group Re-Identification
TSN-GReID: Transformer-based Siamese Network for Group Re-Id...
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International Conference on control, automation, Robotics and Vision (ICARCV)
作者: Xiaoyan Lu Weijie Sheng Xinde Li School of Cyber Science and Engineering Southeast University Nanjing China Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing China
Group re-identification (GReID) is an important yet less-studied task. GReID focuses on associating the group images across non-overlapping cameras. The key challenges of GReID include layout variation, membership cha... 详细信息
来源: 评论
A LEARNING SYSTEM FOR MOTION PLANNING OF FREE-FLOAT DUAL-ARM SPACE MANIPULATOR TOWARDS NON-COOPERATIVE OBJECT
arXiv
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arXiv 2022年
作者: Wang, Shengjie Cao, Yuxue Zheng, Xiang Zhang, Tao Department of Automation Tsinghua University Beijing China Beijing Institute of Control Engineering Beijing China Department of Computer Science City University of Hong Kong Hong Kong
Recent years have seen the emergence of non-cooperative objects in space, like failed satellites and space junk. These objects are usually operated or collected by free-float dual-arm space manipulators. Thanks to eli... 详细信息
来源: 评论
A Data-Driven Passive Islanding Detection Scheme
A Data-Driven Passive Islanding Detection Scheme
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IEEE Power India Conference
作者: M. Venkateswara Reddy Sourav De Ranjana Sodhi Grid Automation & Control group National Renewable Energy Laboratory Golden United States Dept. of Electrical Engineering Indian Institute of Technology Ropar Punjab India
This paper proposes a novel statistical parameters based data driven approach for passive islanding detection. The proposed scheme relies in the voltage data, measured at the point of common coupling, and is comprised... 详细信息
来源: 评论
AGV Detection in Industrial Environments through Computer Vision
AGV Detection in Industrial Environments through Computer Vi...
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IEEE Latin American Robotics Symposium, LARS
作者: Wilson Eduardo Barioni Igor Pardal Latini André Lazzaretti Marco Teixeira Flavio Neves Lucia Valeria Ramos De Arruda Automation and Advanced Control System Laboratory (LASCA) Graduate Program in Electrical and Computer Engineering (CPGEI) Universidade Tecnologica Federal do Parana (UTFPR) Curitiba Parana Brazil
Automated Guided Vehicles (AGVs) are usual in industrial settings, with an increasing economic impact on processes. They move through numerous environments inside factories, commonly navigating long distances, while p... 详细信息
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Data-Based Efficient Off-Policy Stabilizing Optimal control Algorithms for Discrete-Time Linear Systems via Damping Coefficients
arXiv
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arXiv 2024年
作者: Li, Dongdong Dong, Jiuxiang College of Information Science and Engineering Northeastern University Shenyang110819 China State Key Laboratory of Synthetical Automation of Process Industries Northeastern University Shenyang110819 China Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education Northeastern University Shenyang110819 China
Policy iteration is one of the classical frameworks of reinforcement learning, which requires a known initial stabilizing control. However, finding the initial stabilizing control depends on the known system model. To... 详细信息
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Asynchronous $\mathcal{L}_{1}$-gain Filtering of Nonlinear Positive Semi-Markov Jump Systems with Time-varying Delays
Asynchronous $\mathcal{L}_{1}$-gain Filtering of Nonlinear P...
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Chinese control Conference (CCC)
作者: Chao Ma Hang Fu Yidao Ji Wei Wu School of Mechanical Engineering University of Science and Technology Beijing China State Key Lab of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China
In this paper, the $\mathcal{L}_{1}$ -gain based filtering problem for nonlinear positive semi-Markov jump systems is investigated by proposing a novel asynchronous design approach. More precisely, the mode-dependent... 详细信息
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Validation of Moment Monitoring Results in Rolling Mill Stand Spindles
Validation of Moment Monitoring Results in Rolling Mill Stan...
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International Russian Smart Industry Conference (SmartIndustryCon)
作者: Olga A. Gasiyarova Boris M. Loginov Andrey A. Radionov Vadim R. Gasiyarov Vadim R. Khramshin Department of Material Science LLC NPP Uchtekh-Profi Chelyabinsk Russia Magnitogorsk Iron and Steel Works Magnitogorsk Russia Department of Automation and Control Moscow Polytechnic University Moscow Russia Power Engineering and Automated Systems Institute Nosov Magnitogorsk State Technical University Magnitogorsk Russia
The authors highlight the need for the development and industrial deployment of online monitoring systems for the elastic moment on the rolling mill stand spindles. An example of a 5000 plate mill was used to demonstr...
来源: 评论
Condensed Representation of Machine Learning Data
arXiv
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arXiv 2022年
作者: Zengin, Rahman Salim Sezer, Volkan Department of Mechatronics Engineering Istanbul Technical University Istanbul Turkey Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey Autonomous Mobility Group Electrical and Electronics Engineering Faculty Istanbul Technical University Istanbul Turkey
Training of a Machine Learning model requires sufficient data. The sufficiency of the data is not always about the quantity, but about the relevancy and reduced redundancy. Data-generating processes create massive amo... 详细信息
来源: 评论
A Multi-Kernel Principal Component Analysis Method for Quality-Related Fault Detection
A Multi-Kernel Principal Component Analysis Method for Quali...
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Youth Academic Annual Conference of Chinese Association of automation (YAC)
作者: Lingxia Mu Biyu Lei Ding Liu School of Automation and Information Engineering Xi’an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an China
In this paper, a multi-kernel principal component analysis (MKPCA) method for quality-related fault detection is proposed. The initial space is firstly mapped to a new space. The correlated information between the new... 详细信息
来源: 评论