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

School of Engineering

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published

Standard

Comparison of different approaches for robust identification of a lightly damped flexible beam. / Montazeri, Allahyar; Esmaeilsabzali, Hadi; Poshtan, Javad et al.
2006 14th European Signal Processing Conference. IEEE, 2006. p. 1-5 (European Signal Processing Conference).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Montazeri, A, Esmaeilsabzali, H, Poshtan, J & Jahed Motlagh, MR 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, pp. 1-5, 14th European Signal Processing Conference, EUSIPCO 2006, Florence, Italy, 4/09/06. <https://ieeexplore.ieee.org/document/7071711>

APA

Montazeri, A., Esmaeilsabzali, H., Poshtan, J., & Jahed Motlagh, M. R. (2006). Comparison of different approaches for robust identification of a lightly damped flexible beam. In 2006 14th European Signal Processing Conference (pp. 1-5). (European Signal Processing Conference). IEEE. https://ieeexplore.ieee.org/document/7071711

Vancouver

Montazeri A, Esmaeilsabzali H, Poshtan J, Jahed Motlagh MR. Comparison of different approaches for robust identification of a lightly damped flexible beam. In 2006 14th European Signal Processing Conference. IEEE. 2006. p. 1-5. (European Signal Processing Conference).

Author

Montazeri, Allahyar ; Esmaeilsabzali, Hadi ; Poshtan, Javad et al. / Comparison of different approaches for robust identification of a lightly damped flexible beam. 2006 14th European Signal Processing Conference. IEEE, 2006. pp. 1-5 (European Signal Processing Conference).

Bibtex

@inproceedings{80219c9ad29e427999956584d8ed9e68,

title = "Comparison of different approaches for robust identification of a lightly damped flexible beam",

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.",

author = "Allahyar Montazeri and Hadi Esmaeilsabzali and Javad Poshtan and {Jahed Motlagh}, {Mohammad Reza}",

year = "2006",

month = sep,

day = "4",

language = "English",

series = "European Signal Processing Conference",

publisher = "IEEE",

pages = "1--5",

booktitle = "2006 14th European Signal Processing Conference",

note = "14th European Signal Processing Conference, EUSIPCO 2006 ; Conference date: 04-09-2006 Through 08-09-2006",

}

RIS

TY - GEN

T1 - Comparison of different approaches for robust identification of a lightly damped flexible beam

AU - Montazeri, Allahyar

AU - Esmaeilsabzali, Hadi

AU - Poshtan, Javad

AU - Jahed Motlagh, Mohammad Reza

PY - 2006/9/4

Y1 - 2006/9/4

N2 - 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.

AB - 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.

M3 - Conference contribution/Paper

AN - SCOPUS:84862613517

T3 - European Signal Processing Conference

SP - 1

EP - 5

BT - 2006 14th European Signal Processing Conference

PB - IEEE

T2 - 14th European Signal Processing Conference, EUSIPCO 2006

Y2 - 4 September 2006 through 8 September 2006

ER -

Research

Links