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检索条件"机构=Distributed Systems Department-Computer and Automation Research Institute"
619 条 记 录,以下是11-20 订阅
排序:
Generalized Simultaneous Perturbation-Based Gradient Search With Reduced Estimator Bias
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IEEE Transactions on Automatic Control 2025年
作者: Pachalyl, Soumen Bhatnagarz, Shalabh Prashanth, L.A. TCS Research Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai India Indian Institute of Science Department of Computer Science and Automation The Robert Bosch Centre for Cyber Physical Systems Bangalore India Indian Institute of Technology Madras Department of Computer Science and Engineering Chennai India
We present a family of generalized simultaneous perturbation-based gradient search (GSPGS) estimators that use noisy function measurements. The number of function measurements required by each estimator is guided by t... 详细信息
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Toward parallel intelligence: An interdisciplinary solution for complex systems
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The Innovation 2023年 第6期4卷 152-164页
作者: Yong Zhao Zhengqiu Zhu Bin Chen Sihang Qiu Jincai Huang Xin Lu Weiyi Yang Chuan Ai Kuihua Huang Cheng He Yucheng Jin Zhong Liu Fei-Yue Wang College of Systems Engineering National University of Defense TechnologyChangsha 410073China Hunan Institute of Advanced Technology Changsha 410073China Shanghai Institute of Infectious Disease and Biosecurity Shanghai 200032China Institute of Epidemiology Helmholtz Zentrum Minchen-German Research Center for Environmental Health(GmbH)NeuherbergGermany Department of Computer Science Hong Kong Baptist UniversityHong KongChina State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China
The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling,analysis,management,and *** meet these demands,the parallel systems method rooted in the ... 详细信息
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Generalized Continuous-Time Models for Nesterov’s Accelerated Gradient Methods
arXiv
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arXiv 2024年
作者: Park, Chanwoong Cho, Youngchae Yang, Insoon Department of Electrical and Computer Engineering Seoul National University Seoul08826 Korea Republic of Automation and Systems Research Institute Seoul National University Seoul08826 Korea Republic of Department of Electrical and Computer Engineering Automation and Systems Research Institute Seoul National University Seoul08826 Korea Republic of
Recent research has indicated a substantial rise in interest in understanding Nesterov’s accelerated gradient methods via their continuous-time models. However, most existing studies focus on specific classes of Nest... 详细信息
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Maximum Power Point Tracking for PV systems: A Comparison of Perturb & Observe and Fuzzy Logic Control  11
Maximum Power Point Tracking for PV Systems: A Comparison of...
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11th International Conference on ENERGY and ENVIRONMENT, CIEM 2023
作者: Tahiri, Fadila Hartani, M. Amine Harrouz, Abdelkader Dumbrava, Virgil Wira, Patrice Technology and Sciences Department LDDI Laboratory Adrar Algeria Department of Hydrocarbon and Renewable Energy LDDI Laboratory Adrar Algeria Department of Electric Power Systems Polytechnic University of Bucharest Bucharest Romania Institute for Research in Computer Science Mathematics Automation and Signal Mulhouse France
The purpose of this research paper is to explore different approaches to maximize power point tracking (MPPT) in photovoltaic (PV) systems. In this work, we evaluate and compare incremental conductance (InC) and fuzzy... 详细信息
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Assessing mowing intensity:A new index incorporating frequency,type of machinery,and technique
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Grassland research 2024年 第3期3卷 264-274页
作者: Margarita Hartlieb Sebastian Raubitzek Johanna L.Berger Michael Staab Juliane Vogt Manfred Ayasse Andreas Ostrowski Wolfgang Weisser Nico Blüthgen Ecological Networks Department of BiologyTechnical University of DarmstadtDarmstadtGermany SBA-Research ViennaAustria Natura 2000-Station Unstrut-Hainich/Eichsfeld Wildtierland Hainich gGmbHHörselberg-HainichGermany Institute of Evolutionary Ecology and Conservation Genomics Ulm UniversityUlmGermany Heinz Nixdorf Chair for Distributed Information Systems Faculty of Mathematics and Computer ScienceFriedrich Schiller UniversityJenaGermany Department of Life Science Systems School of Life SciencesTechnical University of MunichTerrestrial Ecology Research GroupFreisingGermany
Background:Only a few decades ago,colorful,small-scale,heterogeneous,and species-rich hay meadows or extensive pastures were common,but have often been replaced by species-poor,uniform,large-scale multicut *** advance... 详细信息
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Skeleton-based Action Recognition Using Two-stream Graph Convolutional Network with Pose Refinement  41
Skeleton-based Action Recognition Using Two-stream Graph Con...
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第41届中国控制会议
作者: Biao Zheng Luefeng Chen Min Wu Witold Pedrycz Kaoru Hirota 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 Department of Electrical and Computer Engineering University of Alberta Tokyo Institute of Technology
With the development of science and technology,graph convolutional network has made great progress in improving the accuracy of action ***,there still exists some deficiencies in current ***,the human skeleton point c... 详细信息
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Optimal Linear Deception Attacks on Remote State Estimation with Constrained Alarm Rates: A Low-Dimensional Case  63
Optimal Linear Deception Attacks on Remote State Estimation ...
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63rd IEEE Conference on Decision and Control, CDC 2024
作者: Shang, Jun Zhang, Hanwen Zhou, Jing Chen, Tongwen Tongji University Shanghai Research Institute for Intelligent Autonomous Systems National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Department of Control Science and Engineering Shanghai200092 China University of Science and Technology Beijing Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical Engineering Beijing100083 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 1H9 Canada
This study addresses linear attacks on remote state estimation within the context of a constrained alarm rate. Smart sensors, which are equipped with local Kalman filters, transmit innovations instead of raw measureme...
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Integrating Variable Reduction Strategy With Evolutionary Algorithms for Solving Nonlinear Equations systems
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IEEE/CAA Journal of Automatica Sinica 2022年 第1期9卷 75-89页
作者: Aijuan Song Guohua Wu Witold Pedrycz Ling Wang School of Traffic and Transportation Engineering Central South UniversityChangsha 410075China Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6G 2V4Canada Department of Electrical and Computer Engineering Faculty of EngineeringKing Abdulaziz UniversityJeddah 21589Saudi Arabia Systems Research Institute Polish Academy of SciencesWarsaw 01447Poland Department of Automation Tsinghua UniversityBeijing 100084China
Nonlinear equations systems(NESs)are widely used in real-world problems and they are difficult to solve due to their nonlinearity and multiple *** algorithms(EAs)are one of the methods for solving NESs,given their glo... 详细信息
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Cross-Modality Image Transformation Using Generative Adversarial Network  24th
Cross-Modality Image Transformation Using Generative Adversa...
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24th Conference on Man-Machine-Environment System Engineering, MMESE 2024
作者: Liu, Haoting Yu, Shiqi Hou, Qingwen Chen, Shuai Guo, Kuiyuan Wang, Xu Li, Qing Beijing Engineering Research Center of Industrial Spectrum Imaging School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Research Institute of Trustworthy Autonomous Systems Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China CATARC Technology Co. Ltd. Shenzhen518118 China
A cross-modality image transformation method using the Generative Adversarial Network (GAN) is proposed in this paper. First, the preprocessing methods are performed to the original image data. The computational steps... 详细信息
来源: 评论
ICSGD-Momentum: SGD Momentum based on Inter-gradient Collision  22
ICSGD-Momentum: SGD Momentum based on Inter-gradient Collisi...
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22nd IEEE International Conference on Industrial Informatics, INDIN 2024
作者: Zou, Weidong Cao, Weipeng Xia, Yuanqing Zhong, Bineng Li, Dachuan School of Automation Beijing Institute of Technology Beijing China Shenzhen China Guangxi Key Lab of Multi-source Information Mining & Security Guangxi Normal University Guilin China Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China
Deep neural networks (DNNs) are widely used in fields like computer vision and natural language processing. A key component of DNN training is the optimizer. SGD-Momentum is popular in many DNN methodologies, such as ... 详细信息
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