Interval observer filtering-based fault diagnosis method for linear discrete-time systems with dual uncertainties-Reference-Cited by-同舟云学术

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Interval observer filtering-based fault diagnosis method for linear discrete-time systems with dual uncertainties

Published:2022-01 Issue:2 Volume:359 Page:1626-1648
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Zhang Mengdi,Wang Ziyun^ORCID,Wang Yan,Park Ju H.,Ji Zhicheng

Funder

National Natural Science Foundation of China

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

National Key Research and Development Program of China

National Key Research and Development Program of China Stem Cell and Translational Research

Higher Education Discipline Innovation Project

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference36 articles.

1. Fault diagnosis for a kind of nonlinear systems by using model-based contribution analysis;Liu;J. Frankl. Inst.,2018

2. Observer-based fault detection and diagnosis strategy for industrial processes;Bernardi;J. Frankl. Inst.,2020

3. Active model-based fault diagnosis in reconfigurable battery systems;Schmid;IEEE Trans. Power Electron.,2021

4. Wavefront reconstruction with defocus and transverse shift estimation using Kalman filtering;Fang;Opt. Lasers Eng.,2018

5. Nonlinear Bayesian estimation: from Kalman filtering to a broader horizon;Fang;IEE-CAA J. Autom. Sin.,2018

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