On the fault diagnosis problem for non-linear systems: A fuzzy sliding-mode observer approach1-Reference-Cited by-同舟云学术

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On the fault diagnosis problem for non-linear systems: A fuzzy sliding-mode observer approach1

Published:2009 Issue:4, 5 Volume:20 Page:187-199
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:

Author:

Castillo-Toledo B.¹,Di Gennaro S.²,Anzurez-Marin J.³

Affiliation:

1. CINVESTAV-IPN Unidad Guadalajara, Av. Científica, Col. El Bajío, Zapopan, 45010, Jalisco, México

2. Department of Electrical and Information Engineering, and Center of Excellence DEWS University of L'Aquila, Poggio di Roio, L'Aquila, Italy

3. Department of Electrical Engineering, Universidad Michoacana de San Nicol´s Hidalgo, Morelia, México

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Partial kernel PCA-based GLRT for fault diagnosis of nonlinear processes;Journal of Intelligent & Fuzzy Systems;2020-04-30

2. Fault diagnosis of hydraulic retraction system based on multi-source signals feature fusion and health assessment for the actuator;Journal of Intelligent & Fuzzy Systems;2018-06-22

3. Fuzzy model-based faults diagnosis of the wind turbine benchmark;Procedia Computer Science;2018

4. Real Time Implementation of an Improved Hybrid Fuzzy Sliding Mode Observer Estimator;Advances in Science, Technology and Engineering Systems Journal;2017-01

5. Fuzzy model-based observers for fault detection in CSTR;ISA Transactions;2015-11

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