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A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis

Hao Wu Xin Luo MengChu Zhou Muhyaddin J.Rawa Khaled Sedraoui Aiiad Albeshri

自动化学报（英文版）2022，Vol.9Issue(3)：533-546,14.
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自动化学报（英文版）2022，Vol.9Issue(3)：533-546,14.DOI:10.1109/JAS.2021.1004308

A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis

A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis

Hao Wu 1Xin Luo 2MengChu Zhou 1Muhyaddin J.Rawa 2Khaled Sedraoui 3Aiiad Albeshri4

作者信息

  • 1. Chongqing Institute of Green and Intelligent Technology,Chinese Academy of Sciences,Chongqing 400714
  • 2. University of Chinese Academy of Sciences,Beijing 100049,China
  • 3. Department of Electrical and Computer Engineering,New Jersey Institute of Technology,Newark NJ 07102 USA
  • 4. Center of Research Excellence in Renewable Energy and Power Systems,Department of Electrical and Computer Engineering,Faculty of Engineering,and K.A.CARE Energy Research and Innovation Center,King Abdulaziz University,Jeddah 21589,Saudi Arabia
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摘要

关键词

Big data/high dimensional and incomplete (HDI) tensor/latent factorization-of-tensors (LFT)/machine learning/missing data/optimization/proportional-integral-derivative (PID) controller

Key words

Big data/high dimensional and incomplete (HDI) tensor/latent factorization-of-tensors (LFT)/machine learning/missing data/optimization/proportional-integral-derivative (PID) controller

引用本文复制引用

Hao Wu,Xin Luo,MengChu Zhou,Muhyaddin J.Rawa,Khaled Sedraoui,Aiiad Albeshri..A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis[J].自动化学报（英文版）,2022,9(3):533-546,14.

基金项目

This work was supported in part by the National Natur-al Science Foundation of China(61772493),the CAAI-Huawei Mind-Spore Open Fund(CAAIXSJLJJ-2020-004B),in part by the Natural Science Foundation of Chongqing of China(cstc2019jcyjjqX0013),in part by the Pioneer Hundred Talents Program of Chinese Academy of Sciences,and in part by the Deanship of Scientific Research(DSR)at King Abdulaziz University,Jeddah,Saudi Arabia(FP-165-43). （61772493）

自动化学报（英文版）

OACSCDCSTPCDEI

2329-9266

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