Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Article

Download BibTeX

Title

Sequential identification and control for bounded-noise ARX systems

Authors

[ 1 ] Katedra Automatyki, Robotyki i Informatyki, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee

Year of publication

2001

Published in

IEEE Transactions on Automatic Control

Journal year: 2001 | Journal volume: vol. 46 | Journal number: iss. 2

Article type

scientific article

Publication language

english

Abstract

EN An optimal combination of sequential identification and control for a linear bounded-input bounded-noise discrete-time ARX plant is considered. Various configurations of identifying/controlling sequences are investigated in order to find an optimal tradeoff. The optimal identifying input sequence is determined by maximization of a given identification accuracy measure while the control input sequence is derived to assure a good tracking of the control system. A second-order model is taken for simulation and optimization.

Pages (from - to)

325 - 331

DOI

10.1109/9.905703

URL

https://ieeexplore.ieee.org/document/905703

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.