Abstract:
A way of doing parametric fault detection is described. It is based on the representation of parameter changes as linear fractional transformations (LFT). We describe a m...Show MoreMetadata
Abstract:
A way of doing parametric fault detection is described. It is based on the representation of parameter changes as linear fractional transformations (LFT). We describe a model with parametric uncertainty. Then a stabilizing controller is chosen and its robustness properties are studied via mu. The parameter changes (faults) are estimated based on estimates of the fictitious signals that enter the delta block in the LFT. These signal estimators are designed by H/sub /spl infin// techniques. The chosen example is an inverted pendulum.
Date of Conference: 08-10 May 2002
Date Added to IEEE Xplore: 07 November 2002
Print ISBN:0-7803-7298-0
Print ISSN: 0743-1619