We study the problem of identification of an input to a linear finite-dimensional system. We assume that the input has a feedback form, which is related to a problem often encountered in fault detection. The method we use is to embed the identification problem in a class of inverse problems of dynamics for controlled systems. Two algorithms for identification of a feedback matrix based on the method of feedback control with a model are constructed. These algorithms are stable with respect to noise-corrupted observations and computational errors.
@article{bwmeta1.element.bwnjournal-article-amcv11i4p835bwm,
author = {Maksimov, Vyacheslav and Pandolfi, Luciano},
title = {Robust identification of parasitic feedback disturbances for linear lumped parameter systems},
journal = {International Journal of Applied Mathematics and Computer Science},
volume = {11},
year = {2001},
pages = {835-858},
zbl = {1058.93021},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-amcv11i4p835bwm}
}
Maksimov, Vyacheslav; Pandolfi, Luciano. Robust identification of parasitic feedback disturbances for linear lumped parameter systems. International Journal of Applied Mathematics and Computer Science, Tome 11 (2001) pp. 835-858. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-amcv11i4p835bwm/
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