A subspace like identification method for large-scale LTI dynamical systems

Baptiste Sinquin; Michel Verhaegen

doi:10.1109/SPS.2017.8053664

A subspace like identification method for large-scale LTI dynamical systems

Team Raf Van de Plas

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

Abstract

This paper will present new developments in the identification of large scale network connected systems in the framework of subspace methods. Special structures based on Kronecker products will be proposed that give rise to bilinear structured low dimensional optimization problem. The problems of interest for these large scale problems are imaging systems where images are blurred by perturbations that are dynamic both in time and space.

Original language	English
Title of host publication	Proceedings Signal Processing Symposium (SPSympo 2017)
Editors	K. Kulpa
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-5090-6755-8
DOIs	https://doi.org/10.1109/SPS.2017.8053664
Publication status	Published - 2017
Event	2017 Signal Processing Symposium, SPSympo 2017 - Jachranka, Poland Duration: 12 Sep 2017 → 14 Sep 2017

Conference

Conference	2017 Signal Processing Symposium, SPSympo 2017
Country/Territory	Poland
City	Jachranka
Period	12/09/17 → 14/09/17

Keywords

bilinear optimization
Kronecker product
large-scale networks
spatial-Temporal modeling
subspace identification

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10.1109/SPS.2017.8053664

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title = "A subspace like identification method for large-scale LTI dynamical systems",

abstract = "This paper will present new developments in the identification of large scale network connected systems in the framework of subspace methods. Special structures based on Kronecker products will be proposed that give rise to bilinear structured low dimensional optimization problem. The problems of interest for these large scale problems are imaging systems where images are blurred by perturbations that are dynamic both in time and space.",

keywords = "bilinear optimization, Kronecker product, large-scale networks, spatial-Temporal modeling, subspace identification",

author = "Baptiste Sinquin and Michel Verhaegen",

year = "2017",

doi = "10.1109/SPS.2017.8053664",

language = "English",

editor = "K. Kulpa",

booktitle = "Proceedings Signal Processing Symposium (SPSympo 2017)",

publisher = "IEEE ",

address = "United States",

note = "2017 Signal Processing Symposium, SPSympo 2017 ; Conference date: 12-09-2017 Through 14-09-2017",

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TY - GEN

T1 - A subspace like identification method for large-scale LTI dynamical systems

AU - Sinquin, Baptiste

AU - Verhaegen, Michel

PY - 2017

Y1 - 2017

N2 - This paper will present new developments in the identification of large scale network connected systems in the framework of subspace methods. Special structures based on Kronecker products will be proposed that give rise to bilinear structured low dimensional optimization problem. The problems of interest for these large scale problems are imaging systems where images are blurred by perturbations that are dynamic both in time and space.

AB - This paper will present new developments in the identification of large scale network connected systems in the framework of subspace methods. Special structures based on Kronecker products will be proposed that give rise to bilinear structured low dimensional optimization problem. The problems of interest for these large scale problems are imaging systems where images are blurred by perturbations that are dynamic both in time and space.

KW - bilinear optimization

KW - Kronecker product

KW - large-scale networks

KW - spatial-Temporal modeling

KW - subspace identification

UR - http://www.scopus.com/inward/record.url?scp=85034747676&partnerID=8YFLogxK

U2 - 10.1109/SPS.2017.8053664

DO - 10.1109/SPS.2017.8053664

M3 - Conference contribution

AN - SCOPUS:85034747676

BT - Proceedings Signal Processing Symposium (SPSympo 2017)

A2 - Kulpa, K.

PB - IEEE

CY - Piscataway, NJ, USA

T2 - 2017 Signal Processing Symposium, SPSympo 2017

Y2 - 12 September 2017 through 14 September 2017

ER -

A subspace like identification method for large-scale LTI dynamical systems

Abstract

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Keywords

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Structured matrices for predictive control of large and multi-dimensional systems

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