NDLI: Two procedures with randomized controls for the parameters' confidence region of linear plant under external arbitrary noise

Content Provider	IEEE Xplore Digital Library
Author	Amelin, K. Amelina, N. Granichin, O. Granichina, O.
Copyright Year	2012
Description	Author affiliation: Department of Mathematics and Mechanics, Saint Petersburg State University, 198504, Universitetskii pr. 28, Russia (Amelin, K.; Amelina, N.; Granichin, O.; Granichina, O.)
Abstract	In this paper we join the previous results about asymptotic properties of a randomized control strategy with new one based on a non-asymptotic approach of LSCR (Leave-out Sign-dominant Correlation Regions) methods. Our consideration is focused on problems of the identification or adaptive optimal control for the linear plant with unknown parameters and dynamics disturbed by an external noise. The assumptions about the noise are reduced to a minimum: it can virtually be arbitrary, but, independently of it, the user must be able to add test perturbations through the input channel. The theoretical results are illustrated by simulations.
Starting Page	1226
Ending Page	1231
File Size	221200
Page Count	6
File Format	PDF
ISBN	9781467345989
ISSN	21589860
e-ISBN	9781467346009
e-ISBN	9781467345996
DOI	10.1109/ISIC.2012.6398282
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-03
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise Equations Transfer functions Mathematical model Autoregressive processes Control systems Correlation
Content Type	Text
Resource Type	Article

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