Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1704670 | Applied Mathematical Modelling | 2013 | 8 Pages |
Abstract
The dual-rate sampled-data systems can offer better quality of control than the systems with single sampling rate in practice. However, the conventional identification methods run in the single-rate scheme. This paper focuses on the parameter estimation problems of the dual-rate output error systems with colored noises. Based on the dual-rate sampled and noise-contaminated data, two direct estimation algorithms are addressed: the auxiliary model based recursive extended least squares algorithm and the recursive prediction error method. The auxiliary model is employed to estimate the noise-free system output. An example is given to test and illustrate the proposed algorithms.
Related Topics
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Computational Mechanics
Authors
Jie Ding, Chunxia Fan, Jinxing Lin,