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Multirate stabilization of linear multiple sensor systems via limited capacity communication channels. / Matveev, Alexey S.; Savkin, Andrey V.

в: SIAM Journal on Control and Optimization, Том 44, № 2, 23.03.2006, стр. 584-617.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Matveev, AS & Savkin, AV 2006, 'Multirate stabilization of linear multiple sensor systems via limited capacity communication channels', SIAM Journal on Control and Optimization, Том. 44, № 2, стр. 584-617. https://doi.org/10.1137/S0363012902419965

APA

Matveev, A. S., & Savkin, A. V. (2006). Multirate stabilization of linear multiple sensor systems via limited capacity communication channels. SIAM Journal on Control and Optimization, 44(2), 584-617. https://doi.org/10.1137/S0363012902419965

Vancouver

Matveev AS, Savkin AV. Multirate stabilization of linear multiple sensor systems via limited capacity communication channels. SIAM Journal on Control and Optimization. 2006 Март 23;44(2):584-617. https://doi.org/10.1137/S0363012902419965

Author

Matveev, Alexey S. ; Savkin, Andrey V. / Multirate stabilization of linear multiple sensor systems via limited capacity communication channels. в: SIAM Journal on Control and Optimization. 2006 ; Том 44, № 2. стр. 584-617.

BibTeX

@article{bbc5279ded05457d9b745145f171f113,
title = "Multirate stabilization of linear multiple sensor systems via limited capacity communication channels",
abstract = "The paper addresses a feedback stabilization problem involving bit-rate communication capacity constraints. A discrete-time partially observed linear system is studied. Unlike classic theory, the signals from multiple sensors are transmitted to the controller over separate finite capacity communication channels. The sensors do not have constant access to the channels, and the channels are not perfect: the messages incur time-varying transmission delays and may be corrupted or lost. However, we suppose that the time-average number of bits per sample period that can be successfully transmitted over the channel during a time interval converges to a certain limit as the length of the interval becomes large. Necessary and sufficient conditions for stabilizability are established. They give the tightest lower bounds on the channel capacities for which stabilization is possible. An algorithm for stabilization is also presented.",
keywords = "Communication constraints, Finite data rate, Networked control systems, Stabilizability",
author = "Matveev, {Alexey S.} and Savkin, {Andrey V.}",
year = "2006",
month = mar,
day = "23",
doi = "10.1137/S0363012902419965",
language = "English",
volume = "44",
pages = "584--617",
journal = "SIAM Journal on Control and Optimization",
issn = "0363-0129",
publisher = "Society for Industrial and Applied Mathematics",
number = "2",

}

RIS

TY - JOUR

T1 - Multirate stabilization of linear multiple sensor systems via limited capacity communication channels

AU - Matveev, Alexey S.

AU - Savkin, Andrey V.

PY - 2006/3/23

Y1 - 2006/3/23

N2 - The paper addresses a feedback stabilization problem involving bit-rate communication capacity constraints. A discrete-time partially observed linear system is studied. Unlike classic theory, the signals from multiple sensors are transmitted to the controller over separate finite capacity communication channels. The sensors do not have constant access to the channels, and the channels are not perfect: the messages incur time-varying transmission delays and may be corrupted or lost. However, we suppose that the time-average number of bits per sample period that can be successfully transmitted over the channel during a time interval converges to a certain limit as the length of the interval becomes large. Necessary and sufficient conditions for stabilizability are established. They give the tightest lower bounds on the channel capacities for which stabilization is possible. An algorithm for stabilization is also presented.

AB - The paper addresses a feedback stabilization problem involving bit-rate communication capacity constraints. A discrete-time partially observed linear system is studied. Unlike classic theory, the signals from multiple sensors are transmitted to the controller over separate finite capacity communication channels. The sensors do not have constant access to the channels, and the channels are not perfect: the messages incur time-varying transmission delays and may be corrupted or lost. However, we suppose that the time-average number of bits per sample period that can be successfully transmitted over the channel during a time interval converges to a certain limit as the length of the interval becomes large. Necessary and sufficient conditions for stabilizability are established. They give the tightest lower bounds on the channel capacities for which stabilization is possible. An algorithm for stabilization is also presented.

KW - Communication constraints

KW - Finite data rate

KW - Networked control systems

KW - Stabilizability

UR - http://www.scopus.com/inward/record.url?scp=27844505579&partnerID=8YFLogxK

U2 - 10.1137/S0363012902419965

DO - 10.1137/S0363012902419965

M3 - Article

AN - SCOPUS:27844505579

VL - 44

SP - 584

EP - 617

JO - SIAM Journal on Control and Optimization

JF - SIAM Journal on Control and Optimization

SN - 0363-0129

IS - 2

ER -

ID: 50907178