10 April 2013 Identification of flexible structures by frequency-domain observability range context
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Abstract
The well known frequency-domain observability range space extraction (FORSE) algorithm provides a powerful multivariable system-identification tool with inherent flexibility, to create state-space models from frequency-response data (FRD). This paper presents a method of using FORSE to create “context models” of a lightly damped system, from which models of individual resonant modes can be extracted. Further, it shows how to combine the extracted models of many individual modes into one large state-space model. Using this method, the author has created very high-order state-space models that accurately match measured FRD over very broad bandwidths, i.e., resonant peaks spread across five orders-of-magnitude of frequency bandwidth.
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M. A. Hopkins, "Identification of flexible structures by frequency-domain observability range context", Proc. SPIE 8688, Active and Passive Smart Structures and Integrated Systems 2013, 86880O (10 April 2013); doi: 10.1117/12.2009147; https://doi.org/10.1117/12.2009147
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