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 MoreMetadata
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
ISBN Information: