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Recursive Approximation of Complex Behaviours With IoT-Data Imperfections

Korkut Bekiroglu Seshadhri Srinivasan Ethan Png Rong Su Constantino Lagoa

自动化学报(英文版)2020,Vol.7Issue(3):656-667,12.
自动化学报(英文版)2020,Vol.7Issue(3):656-667,12.DOI:10.1109/JAS.2020.1003126

Recursive Approximation of Complex Behaviours With IoT-Data Imperfections

Recursive Approximation of Complex Behaviours With IoT-Data Imperfections

Korkut Bekiroglu 1Seshadhri Srinivasan 2Ethan Png 3Rong Su 3Constantino Lagoa4

作者信息

  • 1. College of Engineering,SUNY Polytechnic Institute,Utica 13503,NY,USA
  • 2. Berkeley Education Alliance for Research in Singapore(BEARS),Singapore 138602,Singapore
  • 3. School of Electrical and Electronic Engineer-ing,Nanyang Technological University,Singapore 639798,Singapore
  • 4. Electrical Engineering Department of Pennsylvania State University,University Park,PA 16802 USA
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摘要

关键词

Adaptability/distributed decision systems/imperfect measurements/internet of things (IoT)/low order model identifica-tion

Key words

Adaptability/distributed decision systems/imperfect measurements/internet of things (IoT)/low order model identifica-tion

引用本文复制引用

Korkut Bekiroglu,Seshadhri Srinivasan,Ethan Png,Rong Su,Constantino Lagoa..Recursive Approximation of Complex Behaviours With IoT-Data Imperfections[J].自动化学报(英文版),2020,7(3):656-667,12.

基金项目

This work was supported by the Building and Construction Authority through the NRF GBIC Program (NRF2015ENC-GBICRD001-057). (NRF2015ENC-GBICRD001-057)

自动化学报(英文版)

OACSCDCSTPCDEI

2329-9266

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