Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Identification of hysteretic systems using NARX models, part II
T2 - 30th IMAC, A Conference on Structural Dynamics, 2012
AU - Worden, K.
AU - Barthorpe, R. J.
AU - Hensman, J. J.
PY - 2012
Y1 - 2012
N2 - Following on from the first part of this short sequence, this paper will investigate the use of a Bayesian methodology for the identification of Bouc-Wen hysteretic systems by NARX models. The approach - based on Markov Chain Monte Carlo - offers a number of advantages over the evolutionary approach of the first paper. Among them are the ability to sample from the probability density functions of the parameters in order to develop nonparametric estimators and the possibility of selecting model terms in a principled manner. The paper will investigate the use of the Deviance Information Criterion (DIC) as a means of selecting model terms, specifically the special basis functions developed for the Bouc-Wen system in Part I. Results for simulated data will be given.
AB - Following on from the first part of this short sequence, this paper will investigate the use of a Bayesian methodology for the identification of Bouc-Wen hysteretic systems by NARX models. The approach - based on Markov Chain Monte Carlo - offers a number of advantages over the evolutionary approach of the first paper. Among them are the ability to sample from the probability density functions of the parameters in order to develop nonparametric estimators and the possibility of selecting model terms in a principled manner. The paper will investigate the use of the Deviance Information Criterion (DIC) as a means of selecting model terms, specifically the special basis functions developed for the Bouc-Wen system in Part I. Results for simulated data will be given.
KW - Bayesian inference
KW - Hysteresis
KW - Markov chain monte carlo (MCMC)
KW - Nonlinear system identification
KW - The bouc-wen model
U2 - 10.1007/978-1-4614-2431-4_6
DO - 10.1007/978-1-4614-2431-4_6
M3 - Conference contribution/Paper
AN - SCOPUS:84861745377
SN - 9781461424307
VL - 4
SP - 57
EP - 65
BT - Conference Proceedings of the Society for Experimental Mechanics Series
Y2 - 30 January 2012 through 2 February 2012
ER -