<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>Integrated design of observer based Fault Detection (FD) for a class of uncertain nonlinear systems with Lipschitz nonlinearities is studied. In the context of norm based residual evaluation, the residual generator and evaluator are designed together in an integrated form, and, based on it, a trade-off FD system is finally achieved in the sense that, for a given Fault Detection Rate (FDR), the False Alarm Rate (FAR) is minimized. A numerical example is given to illustrate the effectiveness of the proposed design method.</p></abstract>

Integrated design of observer based Fault Detection (FD) for a class of uncertain nonlinear systems with Lipschitz nonlinearities is studied. In the context of norm based residual evaluation, the residual generator and evaluator are designed together in an integrated form, and, based on it, a trade-off FD system is finally achieved in the sense that, for a given Fault Detection Rate (FDR), the False Alarm Rate (FAR) is minimized. A numerical example is given to illustrate the effectiveness of the proposed design method.

Integrated design of observer based fault detection for a class of uncertain nonlinear systems

Institute of Automatic Control and Complex Systems, University of Duisburg-Essen, Bismarckstr, 81, 47057 Duisburg, Germany

International Journal of Applied Mathematics and Computer Science

Integrated design of observer based Fault Detection (FD) for a class of uncertain nonlinear systems with Lipschitz nonlinearities is studied. In the context of...

Integrated design of observer based fault detection for a class of uncertain nonlinear systems

Published Online: Sep 22, 2011

Page range: 423 - 430

DOI: https://doi.org/10.2478/v10006-011-0031-0

Keywords
fault detection, observers, nonlinear systems, optimization, robustness

This content is open access.

Integrated design of observer based fault detection for a class of uncertain nonlinear systems

Published Online: Sep 22, 2011

Page range: 423 - 430

DOI: https://doi.org/10.2478/v10006-011-0031-0

Keywordsfault detection, observers, nonlinear systems, optimization, robustness

This content is open access.

Keywords
fault detection, observers, nonlinear systems, optimization, robustness