Time-space separation-based data driven method for monitoring distributed parameter process with sparse and noisy sensor data-Reference-Cited by-同舟云学术

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Time-space separation-based data driven method for monitoring distributed parameter process with sparse and noisy sensor data

Published:2024-01 Issue: Volume:142 Page:105767
ISSN:0967-0661
Container-title:Control Engineering Practice
language:en
Short-container-title:Control Engineering Practice

Author:

Li Yue,Zhou Gongbo^ORCID,Liu Hao,Zhou Ping,Li Menggang

Funder

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Priority Academic Program Development of Jiangsu Higher Education Institutions

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference42 articles.

1. Simulating spatial and temporal varying CO2 signals from sources at the seafloor to help designing risk-based monitoring programs;Ali;Journal of Geophysical Research: Oceans,2016

2. Estimation techniques for distributed parameter systems;Banks,2012

3. Electrochemical-distributed thermal coupled model-based state of charge estimation for cylindrical lithium-ion batteries;Chen;Control Engineering Practice,2021

4. Dimension embedded basis function for spatiotemporal modeling of distributed parameter system;Chen;IEEE Transactions on Industrial Informatics,2020

5. Sensor selection with cost constraints for dynamically relevant bases;Clark;IEEE Sensors Journal,2020

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