Comparison of different approaches for robust identification of a lightly damped flexible beam

Montazeri, Allahyar and Esmaeilsabzali, Hadi and Poshtan, Javad and Jahed Motlagh, Mohammad Reza (2006) Comparison of different approaches for robust identification of a lightly damped flexible beam. In: 2006 14th European Signal Processing Conference. European Signal Processing Conference . IEEE, ITA, pp. 1-5.

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Abstract

The aim of this paper is robust identification of a lightly damped flexible beam model with parametric and nonparametric uncertainties. We examined two main approaches for robust identification which are based on deterministic and stochastic assumptions on uncertainties. In the first case uncertainties are assumed to be unknown but bounded which is known as "Set Membership" method (SM), while stochastic assumptions lead to the so-called "Stochastic Embedding" method (NSSE). In order to proper handling with the high magnitude non-parametric uncertainties the proposed methods are compared and it is shown that the combination of set membership approach with model error modelling techniques will result in superior results.

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2208
Subjects:
ID Code:
149236
Deposited By:
Deposited On:
23 Nov 2020 12:40
Refereed?:
Yes
Published?:
Published
Last Modified:
30 Jan 2021 13:30