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Frequency Domain MIMO Identification for Modeling of Structural Dynamics
TANG WEI * #
School of Automation,Northwestern Polytechnical University
*Correspondence author
#Submitted by
Subject:
Funding: Research Fund for the Doctoral Program of Higher Education of China （No.No.20096102120039）, This research is supported by National Natural Science Foundation of China （No.No.50905140）
Opened online:20 July 2011
Accepted by: none
Citation: TANG WEI.Frequency Domain MIMO Identification for Modeling of Structural Dynamics[OL]. [20 July 2011] http://en.paper.edu.cn/en_releasepaper/content/4434863
 
 
Frequency domain system identification is widely used in the area of structural dynamic analysis. However, due to modeling errors, disturbances and measurement noise, the identified model may be unstable. In this paper, we propose two algorithms to identify structural dynamics with prior knowledge of stable poles. The first algorithm is based on subspace identification, and the second algorithm is based on maximum likelihood in the frequency domain. The corn difference with previous methods in that the new algorithms consider the poles constraint. We show the benefits of the proposed approaches in a simple example where the results of the first algorithm are used as an initial estimate for the second algorithm.
Keywords:System identification; State-space model; MIMO; Subspace identification; Maximum likelihood
 
 
 

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