Jl. Crassidis et Dj. Mook, INTEGRATED ESTIMATION IDENTIFICATION USING 2ND-ORDER DYNAMIC-MODELS/, Journal of vibration and acoustics, 119(1), 1997, pp. 1-8
An algorithm is presented which accurately identifies multi-input-mult
i-output systems characterized by vibrating structures. More specifica
lly, an identification technique is integrated with an optimal estimat
or in order to develop an algorithm which is robust with respect to me
asurement and process noise. The unique functional form of the integra
ted approach utilizes systems described by second-order models. Theref
ore, theoretical, mass, damping, and stiffness matrices, associated wi
th lumped parameter models, are tailored with experimental time-domain
data for system estimation and identification. This leads to an algor
ithm that is computationally efficient, producing realizations of comp
lex multiple degree-of-freedom systems. The combined estimation/identi
fication algorithm is used to identify the properties of an actual fle
xible truss from experimental data. Comparison of experimental frequen
cy-domain data to the predicted model characteristics indicates that t
he integrated algorithm produces near-minimal realizations coupled wit
h accurate modal properties.