INTEGRATED ESTIMATION IDENTIFICATION USING 2ND-ORDER DYNAMIC-MODELS/

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.