On methods of treating DC levels in an adaptive digital Smith predictor

Please use this identifier to cite or link to this item: https://doi.org/10.1109/9.45145

Title:	On methods of treating DC levels in an adaptive digital Smith predictor
Authors:	Hang, C.C. Chong, B.W.
Issue Date:	Jan-1990
Citation:	Hang, C.C., Chong, B.W. (1990-01). On methods of treating DC levels in an adaptive digital Smith predictor. IEEE Transactions on Automatic Control 35 (1) : 65-66. ScholarBank@NUS Repository. https://doi.org/10.1109/9.45145
Abstract:	Two popular methods of treating unknown or slowly varying DC levels in the input and output measurements used for parameter estimation in an adaptive digital Smith predictor are studied. They are the high-pass filtering method and the method of estimating an additional constant. The performance of the former is found to be inferior in that it leads to a larger output variance under a stochastic environment. This is caused by the higher variation in model output due to static gain variations in the estimated explicit model.
Source Title:	IEEE Transactions on Automatic Control
URI:	http://scholarbank.nus.edu.sg/handle/10635/62521
ISSN:	00189286
DOI:	10.1109/9.45145
Appears in Collections:	Staff Publications

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