Multistep Self-Tuning Prediction

[+] Author and Article Information
M. D. España

Instituto de Ingenieria, UNAM, Coyoacán 04510, México, D.F.

J. Dyn. Sys., Meas., Control 108(3), 276-277 (Sep 01, 1986) (2 pages) doi:10.1115/1.3143780 History: Received May 05, 1986; Online July 21, 2009


An optimal multistep predictor based on the 1-step-ahead predictor is presented. It is shown that parallel predictors need not be implemented in order to predict the output of some stochastically disturbed system over a future horizon of sampling instants. When the parameters are not known the self-tuning property of the 1-step ahead predictor combined with a least-square recursive identification algorithm is inherited by the future predictions obtained on its bases. The structure complexity of the problem can thus be reduced to its minimal expression, i.e., the 1-step-ahead step-tuning predictor.

Copyright © 1986 by ASME
Topics: Algorithms
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