Fault Detection Approach for Nonlinear Systems via Nonlinear Factorization and Fuzzy Models-Reference-Cited by-同舟云学术

Fault Detection Approach for Nonlinear Systems via Nonlinear Factorization and Fuzzy Models

Published:2022-08 Issue:8 Volume:69 Page:3425-3429
ISSN:1549-7747
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Han Huayun¹^ORCID,Han Honggui¹^ORCID,Zhao Dong²^ORCID,Gao Xuejin¹

Affiliation:

1. Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of Information Technology, Beijing University of Technology, Beijing, China

2. School of Cyber Science and Technology, Beihang University, Beijing, China

Funder

National Key Research and Development Project

Beijing Outstanding Young Scientist Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8920/9844876/09684517.pdf?arnumber=9684517

Reference22 articles.

1. Switched Threshold-Based Fault Detection for Switched Nonlinear Systems With Its Application to Chua’s Circuit System

2. Small Fault Detection for a Class of Closed-Loop Systems via Deterministic Learning

3. LSTM-based intelligent fault detection for fuzzy markov jump systems and its application to tunnel diode circuits;xue;IEEE Trans Circuits Syst II Exp Briefs,2021

4. Weighted Fuzzy Observer-Based Fault Detection Approach for Discrete-Time Nonlinear Systems via Piecewise-Fuzzy Lyapunov Functions

5. A Novel Approach to State and Unknown Input Estimation for Takagi–Sugeno Fuzzy Models With Applications to Fault Detection

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