Standard

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. p. 1475-1480 7074614.

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

Harvard

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

APA

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

Vancouver

Matveev AS, Savkin AV. Stabilization of networked systems under computational power constraints. In 2009 European Control Conference, ECC 2009. Institute of Electrical and Electronics Engineers Inc. 2014. p. 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. pp. 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