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2012 LMI-Based Sliding Mode Observers for Incipient Faults Detection in Nonlinear System
Chang-fan Zhang, Min Yan, Jing He, Cheng Luo
J. Appl. Math. 2012(SI13): 1-13 (2012). DOI: 10.1155/2012/528932

Abstract

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.

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Chang-fan Zhang. Min Yan. Jing He. Cheng Luo. "LMI-Based Sliding Mode Observers for Incipient Faults Detection in Nonlinear System." J. Appl. Math. 2012 (SI13) 1 - 13, 2012. https://doi.org/10.1155/2012/528932

Information

Published: 2012
First available in Project Euclid: 16 July 2013

zbMATH: 1300.93052
MathSciNet: MR3000289
Digital Object Identifier: 10.1155/2012/528932

Rights: Copyright © 2012 Hindawi

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Vol.2012 • No. SI13 • 2012
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