An<i>H</i><sub>∞</sub>approach to data‐driven fault estimation, and isolation for Hammerstein‐Wiener systems-Reference-Cited by-同舟云学术

AnH_∞approach to data‐driven fault estimation, and isolation for Hammerstein‐Wiener systems

Published:2022-06-13 Issue:13 Volume:32 Page:7348-7362
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Intl J Robust & Nonlinear

Author:

Salim Mina¹^ORCID,Mahdavi Zahra¹,Kharrati Hamed¹^ORCID

Affiliation:

1. Department of Control Engineering, Faculty of Electrical & Computer Engineering University of Tabriz Tabriz Iran

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.6222

Reference42 articles.

1. $H_2$ /$H_\infty$ Simultaneous Fault Detection and Control for Markov Jump Linear Systems With Partial Observation

2. A New Nonlinear Model-Based Fault Detection Method Using Mann–Whitney Test

3. A survey and classification of incipient fault diagnosis approaches

4. Fault Detection for Nonlinear Networked Control Systems With Sensor Saturation and Random Faults

5. Distributed Fault Detection and Isolation for Multiagent Systems: An Interval Observer Approach

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