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Stabilization of networked systems under computational power constraints. / Matveev, Alexey S.; Savkin, Andrey V.

2009 European Control Conference, ECC 2009. Institute of Electrical and Electronics Engineers Inc., 2014. стр. 1475-1480 7074614.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование

Harvard

Matveev, AS & Savkin, AV 2014, Stabilization of networked systems under computational power constraints. в 2009 European Control Conference, ECC 2009., 7074614, Institute of Electrical and Electronics Engineers Inc., стр. 1475-1480, 10th European Control Conference, ECC 2009, Budapest, Венгрия, 23/08/09.

APA

Matveev, A. S., & Savkin, A. V. (2014). Stabilization of networked systems under computational power constraints. в 2009 European Control Conference, ECC 2009 (стр. 1475-1480). [7074614] Institute of Electrical and Electronics Engineers Inc..

Vancouver

Matveev AS, Savkin AV. Stabilization of networked systems under computational power constraints. в 2009 European Control Conference, ECC 2009. Institute of Electrical and Electronics Engineers Inc. 2014. стр. 1475-1480. 7074614

Author

Matveev, Alexey S. ; Savkin, Andrey V. / Stabilization of networked systems under computational power constraints. 2009 European Control Conference, ECC 2009. Institute of Electrical and Electronics Engineers Inc., 2014. стр. 1475-1480

BibTeX

@inproceedings{e82884aa8f0c4d8186c01b0256e6d444,
title = "Stabilization of networked systems under computational power constraints",
abstract = "The paper considers stabilization under communication errors and limited data rate by means of realistic controllers with bounded (as time progresses) computational powers. Discrete-time partially observed noisy linear systems are studied for which the sensor signals are communicated to the controller over a finite capacity stochastic digital link. Addressed is stabilization in probability. It is shown that stability cannot typically be achieved by means of a finite memory decoder-controller so far as the boundary of the corresponding stabilizability domain is given by the zero-error capacity of the channel, which is typically zero. At the same time, stability can be achieved with keeping the expected values of the consumed computational resources bounded: the boundary of the domain where stabilization can be ensured by a coder and decoder with bounded expected computational powers is given by the ordinary Shannon capacity of the noisy channel.",
author = "Matveev, {Alexey S.} and Savkin, {Andrey V.}",
year = "2014",
month = mar,
day = "26",
language = "English",
pages = "1475--1480",
booktitle = "2009 European Control Conference, ECC 2009",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "10th European Control Conference, ECC 2009 ; Conference date: 23-08-2009 Through 26-08-2009",

}

RIS

TY - GEN

T1 - Stabilization of networked systems under computational power constraints

AU - Matveev, Alexey S.

AU - Savkin, Andrey V.

PY - 2014/3/26

Y1 - 2014/3/26

N2 - The paper considers stabilization under communication errors and limited data rate by means of realistic controllers with bounded (as time progresses) computational powers. Discrete-time partially observed noisy linear systems are studied for which the sensor signals are communicated to the controller over a finite capacity stochastic digital link. Addressed is stabilization in probability. It is shown that stability cannot typically be achieved by means of a finite memory decoder-controller so far as the boundary of the corresponding stabilizability domain is given by the zero-error capacity of the channel, which is typically zero. At the same time, stability can be achieved with keeping the expected values of the consumed computational resources bounded: the boundary of the domain where stabilization can be ensured by a coder and decoder with bounded expected computational powers is given by the ordinary Shannon capacity of the noisy channel.

AB - The paper considers stabilization under communication errors and limited data rate by means of realistic controllers with bounded (as time progresses) computational powers. Discrete-time partially observed noisy linear systems are studied for which the sensor signals are communicated to the controller over a finite capacity stochastic digital link. Addressed is stabilization in probability. It is shown that stability cannot typically be achieved by means of a finite memory decoder-controller so far as the boundary of the corresponding stabilizability domain is given by the zero-error capacity of the channel, which is typically zero. At the same time, stability can be achieved with keeping the expected values of the consumed computational resources bounded: the boundary of the domain where stabilization can be ensured by a coder and decoder with bounded expected computational powers is given by the ordinary Shannon capacity of the noisy channel.

UR - http://www.scopus.com/inward/record.url?scp=84955171521&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84955171521

SP - 1475

EP - 1480

BT - 2009 European Control Conference, ECC 2009

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th European Control Conference, ECC 2009

Y2 - 23 August 2009 through 26 August 2009

ER -

ID: 50905824