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Distributed Robust Stability Analysis of Interconnected Uncertain Systems

Andersen, Martin S. ; Hansson, Anders ; Pakazad, Sina K. and Rantzer, Anders LU orcid (2012) 51st IEEE Conference on Decision and Control, 2012 p.1548-1553
Abstract
This paper considers robust stability analysis of a large network of interconnected uncertain systems. To avoid analyzing the entire network as a single large, lumped system, we model the network interconnections with integral quadratic constraints. This approach yields a sparse linear matrix inequal- ity which can be decomposed into a set of smaller, coupled linear matrix inequalities. This allows us to solve the analysis problem efficiently and in a distributed manner. We also show that the decomposed problem is equivalent to the original robustness analysis problem, and hence our method does not introduce additional conservativeness.
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
IEEE 51st Annual Conference on Decision and Control (CDC), 2012
pages
1548 - 1553
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
51st IEEE Conference on Decision and Control, 2012
conference location
Maui, Hawaii, United States
conference dates
2012-12-10 - 2012-12-13
external identifiers
  • scopus:84874278118
ISSN
0743-1546
ISBN
978-1-4673-2065-8
DOI
10.1109/CDC.2012.6426306
project
LCCC
language
English
LU publication?
yes
id
2ff2200f-99d8-426d-b93e-0ae8f5a6e150 (old id 3625958)
date added to LUP
2016-04-01 13:48:28
date last changed
2023-09-03 05:19:36
@inproceedings{2ff2200f-99d8-426d-b93e-0ae8f5a6e150,
  abstract     = {{This paper considers robust stability analysis of a large network of interconnected uncertain systems. To avoid analyzing the entire network as a single large, lumped system, we model the network interconnections with integral quadratic constraints. This approach yields a sparse linear matrix inequal- ity which can be decomposed into a set of smaller, coupled linear matrix inequalities. This allows us to solve the analysis problem efficiently and in a distributed manner. We also show that the decomposed problem is equivalent to the original robustness analysis problem, and hence our method does not introduce additional conservativeness.}},
  author       = {{Andersen, Martin S. and Hansson, Anders and Pakazad, Sina K. and Rantzer, Anders}},
  booktitle    = {{IEEE 51st Annual Conference on Decision and Control (CDC), 2012}},
  isbn         = {{978-1-4673-2065-8}},
  issn         = {{0743-1546}},
  language     = {{eng}},
  pages        = {{1548--1553}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Distributed Robust Stability Analysis of Interconnected Uncertain Systems}},
  url          = {{https://lup.lub.lu.se/search/files/3602870/3625960.pdf}},
  doi          = {{10.1109/CDC.2012.6426306}},
  year         = {{2012}},
}