Quantitative fault estimation for a class of nonlinear systems

K. Vijayaraghavan, R. Rajamani, J. Bokor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper develops a methodology for actuator fault diagnostics and quantitative estimation of fault signals in a class of nonlinear systems. The class of nonlinear systems considered is one in which the nonlinearity is an incremental quadratic type of nonlinearity that includes Lipschitz, positive real and sector nonlinear functions. The methodology provides for both state estimation and fault vector estimation. An LMI procedure can be utilized for explicit computation of the observer gains. The procedure developed can also be specialized to linear time invariant systems. Compared to previous results for LTI systems, the procedure developed herein does not require the LTI system to be minimum phase. The use of the developed methodology is demonstrated through an illustrative example of a real world physical application.

Original languageEnglish
Title of host publicationProceedings of the 2006 American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5147-5152
Number of pages6
ISBN (Print)1424402107, 9781424402106
DOIs
Publication statusPublished - 2006
Event2006 American Control Conference - Minneapolis, MN, United States
Duration: Jun 14 2006Jun 16 2006

Publication series

NameProceedings of the American Control Conference
Volume2006
ISSN (Print)0743-1619

Other

Other2006 American Control Conference
CountryUnited States
CityMinneapolis, MN
Period6/14/066/16/06

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Vijayaraghavan, K., Rajamani, R., & Bokor, J. (2006). Quantitative fault estimation for a class of nonlinear systems. In Proceedings of the 2006 American Control Conference (pp. 5147-5152). [1657539] (Proceedings of the American Control Conference; Vol. 2006). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/acc.2006.1657539