0
TECHNICAL BRIEFS

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

Abstract

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
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In