… concerning cascade systems [68]. We point to two properties that we believe are of key
importance in the geometric approach to variance analysis: i) For qualitative structural analysis, it …

This paper addresses the problem of quantifying the model error ("variance-error") in estimates
of dynamic systems. It is shown that, under very general conditions, the asymptotic (in …

… We have, using results in [1], derived a geometric approach to variance analysis in single
input single output LTI systems. We have illustrated the methodology by deriving new …

… systems is a key issue in system identification. When estimating individual subsystems of a
network of interconnected system, … In this paper, using a geometric approach, we quantify the …

… Perhaps the most important contribution of this thesis, and of the geometric approach, is the
analysis method as such. Hopefully the methodology presented in this work will be useful in …

… As a proper background the reader is expected to have at least elementary knowledge of
system identification. The textbooks (1999) and Söderström and Stoica (1989) can be …

… In this work, a novel geometric approach to the nondestructive identi®cation of faults in
stochastic structural systems, based upon vibration test data, is introduced. This …

… a geometric approach to shape the uncertainties such that the geometric condition in (2) will
be satisfied. Second, we show that the geometric approach … of the geometric derivations for …

… geometric procedures for identifying (generically) minimal statespace models with inputs.
This approach … The geometric approach of this article is based on the following basic "statistical…

… For example, the ARMAX models used in dynamic system identification are of this type, since
a component of the observed variables (the input usually denoted by the letter u) is treated …