LMI-based sliding mode observers for incipient faults detection in nonlinear system
type: Item
instance of: scholarly article
title: LMI-based sliding mode observers for incipient faults detection in nonlinear system
zbMATH Open document ID: 1300.93052
DOI: 10.1155/2012/528932
author: Changfan Zhang
author: Min Yan
author: Cheng Luo
author: Jing (Selena) He
published in: Journal of Applied Mathematics
publication date: 2013-06-03T00:00:00Z
review text: Summary: This paper presents a diagnosis scheme based on a Linear Matrix Inequality (LMI) algorithm for incipient faults in a nonlinear system class with unknown input disturbances. First, the nonlinear system is transformed into two subsystems, one of which is unrelated to the disturbances. Second, for the subsystem that is free from disturbances, a Luenberger observer is constructed. A sliding mode observer is then constructed for the subsystem which is subjected to disturbances, so that the effect of the unknown input disturbances is eliminated. Together, the entire system achieves both robustness to disturbances and sensitivity to incipient faults. Finally, the effectiveness and feasibility of the proposed method are verified through a numerical example using a single-link robotic arm.
Mathematics Subject Classification ID: 93B12
Mathematics Subject Classification ID: 93B07
Mathematics Subject Classification ID: 94C12
zbMATH DE Number: 6169933
Wikidata QID: Q58906079
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/528932
OpenAlex ID: W2110197336
cites work: Actuator fault diagnosis for uncertain linear systems using a high‐order sliding‐mode robust differentiator (HOSMRD)
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cites work: Sensor bias fault isolation in a class of nonlinear systems
description: scientific article; zbMATH DE number 6169933