Global identification of stochastic dynamical systems under different pseudo-static operating conditions: The functionally pooled ARMAX case
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- 作者：J.S. Sakellarioua ; sakj@mech.upatras.gr" class="auth_mail" title="E-mail the corresponding author ; ; S.D. Fassoisa ; b ; fassois@mech.upatras.gr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Global model identification ; Stochastic identification ; Functionally pooled models ; ARMAX models ; Asymptotic analysis ; Railway suspension modelling
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：1 January 2017
- 年：2017
- 卷：82
- 期：Complete
- 页码：32-55
- 全文大小：2428 K
文摘
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ARMAX models under pseudo-static operating conditions are introduced.
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Prediction Error, multi-stage and maximum likelihood estimation are introduced.
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Estimator consistency and asymptotic efficiency are investigated.
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Railway vehicle suspension dynamics with varying number of passengers considered.