Distributed State Estimation with Communication of Observations.

A.C.M. Ran; J.H. van Schuppen

doi:10.1016/j.laa.2012.11.019

Distributed State Estimation with Communication of Observations.

A.C.M. Ran, J.H. van Schuppen

Mathematics

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

The paper discusses communication of state information in a distributed system. In particular, the following problem is considered: if a linear combination of the output of one subsystem can be communicated, which linear combination should be communicated to minimize the state-error covariance matrix? Variants of this problem where an additional limitation on the rank of the linear combination is imposed are discussed as well. © 2012 Elsevier Inc. All rights reserved.

Original language	English
Pages (from-to)	600-612
Journal	Linear Algebra and its Applications
Volume	439
DOIs	https://doi.org/10.1016/j.laa.2012.11.019
Publication status	Published - 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.laa.2012.11.019

Persistent URL (handle)

Persistent link

Cite this

@article{6ef75eb040264a34843be18cb054f222,

title = "Distributed State Estimation with Communication of Observations.",

abstract = "The paper discusses communication of state information in a distributed system. In particular, the following problem is considered: if a linear combination of the output of one subsystem can be communicated, which linear combination should be communicated to minimize the state-error covariance matrix? Variants of this problem where an additional limitation on the rank of the linear combination is imposed are discussed as well. {\textcopyright} 2012 Elsevier Inc. All rights reserved.",

author = "A.C.M. Ran and {van Schuppen}, J.H.",

year = "2013",

doi = "10.1016/j.laa.2012.11.019",

language = "English",

volume = "439",

pages = "600--612",

journal = "Linear Algebra and its Applications",

issn = "0024-3795",

publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - Distributed State Estimation with Communication of Observations.

AU - Ran, A.C.M.

AU - van Schuppen, J.H.

PY - 2013

Y1 - 2013

N2 - The paper discusses communication of state information in a distributed system. In particular, the following problem is considered: if a linear combination of the output of one subsystem can be communicated, which linear combination should be communicated to minimize the state-error covariance matrix? Variants of this problem where an additional limitation on the rank of the linear combination is imposed are discussed as well. © 2012 Elsevier Inc. All rights reserved.

AB - The paper discusses communication of state information in a distributed system. In particular, the following problem is considered: if a linear combination of the output of one subsystem can be communicated, which linear combination should be communicated to minimize the state-error covariance matrix? Variants of this problem where an additional limitation on the rank of the linear combination is imposed are discussed as well. © 2012 Elsevier Inc. All rights reserved.

U2 - 10.1016/j.laa.2012.11.019

DO - 10.1016/j.laa.2012.11.019

M3 - Article

SN - 0024-3795

VL - 439

SP - 600

EP - 612

JO - Linear Algebra and its Applications

JF - Linear Algebra and its Applications

ER -

Distributed State Estimation with Communication of Observations.

Abstract

UN SDGs

Access to Document

Persistent URL (handle)

Fingerprint

Cite this