Operational modal analysis deals with the estimation of modal parameters from vibration
data obtained in operational rather than laboratory conditions. This paper extensively …

Learning algorithms have become an integral component to modern engineering solutions.
Examples range from self-driving cars and recommender systems to finance and even …

Since the proposal of subspace methods in the 1980s and early 1990s substantial efforts
have been made in the analysis of the statistical properties of the algorithms. This paper …

In this paper the effect of some weighting matrices on the asymptotic variance of the
estimates of linear discrete time state space systems estimated using subspace methods is …

There is experimental evidence that the performance of standard subspace algorithms from
the literature (eg the N4SID method) may be surprisingly poor in certain experimental …

A sensor, generally composed of a power supply, a sensing device, a transducer, and a
signal processor, behaves like any other dynamic system. A damage in any of its …

In this paper, we study ldquononstationary consistencyrdquo of subspace methods for
eigenstructure identification, ie, the ability of subspace algorithms to converge to the true …

In this paper, the asymptotic properties of a version of the" innovation estimation" algorithm
by Qin and Ljung as well as of a version of the" whitening filter" based algorithm introduced …

This paper deals with the CCA subspace algorithm proposed in Larimore [Proceeding of
1983 American Control Conference (1983) pp. 445–451], which constitutes an alternative to …

This paper provides a survey on a class of so-called subspace methods whose main
proponent is CCA proposed by Larimore (1983, Proceedings of the 1983 American Control …