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Two Procedures with Randomized Controls for the Parameters' Confidence Region of Linear Plant under External Arbitrary Noise. / Amelin, K.; Amelina, N.; Granichin, O.; Granichina, O.

2012 IEEE MULTI-CONFERENCE ON SYSTEMS AND CONTROL (2012 IEEE MSC). IEEE Canada, 2012. p. 1226-1231 (IEEE International Symposium on Intelligent Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Amelin, K, Amelina, N, Granichin, O & Granichina, O 2012, Two Procedures with Randomized Controls for the Parameters' Confidence Region of Linear Plant under External Arbitrary Noise. in 2012 IEEE MULTI-CONFERENCE ON SYSTEMS AND CONTROL (2012 IEEE MSC). IEEE International Symposium on Intelligent Control, IEEE Canada, pp. 1226-1231, IEEE International Conference on Control Applications (CCA) Part of 6th IEEE Multi-Conference on Systems and Control (IEEE MSC), Dubrovnik, Croatia, 3/10/12. <http://www.math.spbu.ru/user/gran/papers/MSC2012_0324.pdf>

APA

Amelin, K., Amelina, N., Granichin, O., & Granichina, O. (2012). Two Procedures with Randomized Controls for the Parameters' Confidence Region of Linear Plant under External Arbitrary Noise. In 2012 IEEE MULTI-CONFERENCE ON SYSTEMS AND CONTROL (2012 IEEE MSC) (pp. 1226-1231). (IEEE International Symposium on Intelligent Control). IEEE Canada. http://www.math.spbu.ru/user/gran/papers/MSC2012_0324.pdf

Vancouver

Amelin K, Amelina N, Granichin O, Granichina O. Two Procedures with Randomized Controls for the Parameters' Confidence Region of Linear Plant under External Arbitrary Noise. In 2012 IEEE MULTI-CONFERENCE ON SYSTEMS AND CONTROL (2012 IEEE MSC). IEEE Canada. 2012. p. 1226-1231. (IEEE International Symposium on Intelligent Control).

Author

Amelin, K. ; Amelina, N. ; Granichin, O. ; Granichina, O. / Two Procedures with Randomized Controls for the Parameters' Confidence Region of Linear Plant under External Arbitrary Noise. 2012 IEEE MULTI-CONFERENCE ON SYSTEMS AND CONTROL (2012 IEEE MSC). IEEE Canada, 2012. pp. 1226-1231 (IEEE International Symposium on Intelligent Control).

BibTeX

@inproceedings{30cb55587282490fbc4f496b9816ec6d,
title = "Two Procedures with Randomized Controls for the Parameters' Confidence Region of Linear Plant under External Arbitrary Noise",
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.",
author = "K. Amelin and N. Amelina and O. Granichin and O. Granichina",
year = "2012",
language = "Английский",
series = "IEEE International Symposium on Intelligent Control",
publisher = "IEEE Canada",
pages = "1226--1231",
booktitle = "2012 IEEE MULTI-CONFERENCE ON SYSTEMS AND CONTROL (2012 IEEE MSC)",
address = "Канада",
note = "null ; Conference date: 03-10-2012 Through 05-10-2012",

}

RIS

TY - GEN

T1 - Two Procedures with Randomized Controls for the Parameters' Confidence Region of Linear Plant under External Arbitrary Noise

AU - Amelin, K.

AU - Amelina, N.

AU - Granichin, O.

AU - Granichina, O.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

M3 - статья в сборнике материалов конференции

T3 - IEEE International Symposium on Intelligent Control

SP - 1226

EP - 1231

BT - 2012 IEEE MULTI-CONFERENCE ON SYSTEMS AND CONTROL (2012 IEEE MSC)

PB - IEEE Canada

Y2 - 3 October 2012 through 5 October 2012

ER -

ID: 60694563