Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCA.2009.5410624
DC FieldValue
dc.titleFault detection and isolation for nonlinear F16 models using A gain-varying UIO approach
dc.contributor.authorXu, J.
dc.contributor.authorLum, K.Y.
dc.contributor.authorLoh, A.P.
dc.date.accessioned2014-06-19T03:10:42Z
dc.date.available2014-06-19T03:10:42Z
dc.date.issued2009
dc.identifier.citationXu, J., Lum, K.Y., Loh, A.P. (2009). Fault detection and isolation for nonlinear F16 models using A gain-varying UIO approach. 2009 IEEE International Conference on Control and Automation, ICCA 2009 : 1330-1335. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCA.2009.5410624
dc.identifier.isbn9781424447060
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/70315
dc.description.abstractThis paper presents a gain-varying UIO (unknown input observer) method for actuator FDI (fault detection and isolation) problems. A novel residual scheme together with a piecewise threshold and a moving horizon threshold is proposed. This design methodology is applied to a nonlinear F16 system with polynomial coefficient models, where the F16 plant and UIOs may use different aerodynamics coefficient models. The simulation results show that a satisfactory FDI performance can be achieved even when the system is under the environment of model uncertainties, exogenous noise and measurement errors. ©2009 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICCA.2009.5410624
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.departmentTEMASEK LABORATORIES
dc.description.doi10.1109/ICCA.2009.5410624
dc.description.sourcetitle2009 IEEE International Conference on Control and Automation, ICCA 2009
dc.description.page1330-1335
dc.identifier.isiut000280542300230
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

2
checked on May 5, 2021

WEB OF SCIENCETM
Citations

2
checked on May 5, 2021

Page view(s)

93
checked on May 4, 2021

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.