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System identification from small data sets using an output jittering method with application to model estimation of bioethanol production | IEEE Conference Publication | IEEE Xplore

System identification from small data sets using an output jittering method with application to model estimation of bioethanol production


Abstract:

A novel simple approach is presented for solving small sample size problem in nonlinear dynamic system identification where only a very small number of measured input and...Show More

Abstract:

A novel simple approach is presented for solving small sample size problem in nonlinear dynamic system identification where only a very small number of measured input and output data points are available. The technique is built upon an orthogonal least squares algorithm and a new resampling method called output jittering method,. The proposed algorithm is applied to the model identification of bioethanol production and it shows that a robust and reliable model can be obtained with the new system identification approach.
Date of Conference: 15-17 July 2012
Date Added to IEEE Xplore: 24 November 2012
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Conference Location: Xi'an, China

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