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Automatic Partitioning and Simulation of Weakly Coupled Systems

Papadopoulos, Alessandro Vittorio LU ; Åkesson, Johan LU ; Casella, Francesco and Leva, Alberto (2013) 52nd IEEE Conference on Decision and Control, 2013 p.3172-3177
Abstract
Many control engineering tasks nowadays rely on the simulation of complex multi-physics systems. Modern tools allow to build the required dynamic models conveniently, thanks to Object-Oriented Modelling languages, e.g., Modelica, and to perform simulations with hardly any additional effort on the part of the analyst. However, when simulation speed is of concern, the same tools fall short of exploiting some useful properties of the model, namely – to focus on the subject of this work – the possibility of partitioning said model in “weakly” coupled submodels. This work proposes an automatic method to perform a structural analysis aimed at identifying weak couplings in the system, providing the information needed for the mentioned partition.... (More)
Many control engineering tasks nowadays rely on the simulation of complex multi-physics systems. Modern tools allow to build the required dynamic models conveniently, thanks to Object-Oriented Modelling languages, e.g., Modelica, and to perform simulations with hardly any additional effort on the part of the analyst. However, when simulation speed is of concern, the same tools fall short of exploiting some useful properties of the model, namely – to focus on the subject of this work – the possibility of partitioning said model in “weakly” coupled submodels. This work proposes an automatic method to perform a structural analysis aimed at identifying weak couplings in the system, providing the information needed for the mentioned partition. This information is here used to feed a mixed-mode integration method, leading to a significant improvement in terms of simulation speed. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
[Host publication title missing]
pages
6 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
52nd IEEE Conference on Decision and Control, 2013
conference location
Florence, Italy
conference dates
2013-12-10 - 2013-12-13
external identifiers
  • scopus:84902317791
ISSN
0743-1546
DOI
10.1109/CDC.2013.6760367
project
EIT_VR CLOUD Cloud Control
language
English
LU publication?
yes
id
2ce9a969-94e2-4614-a73b-3f93087358b3 (old id 4580026)
alternative location
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6760367
date added to LUP
2014-07-21 09:09:06
date last changed
2019-03-08 01:30:15
@inproceedings{2ce9a969-94e2-4614-a73b-3f93087358b3,
  abstract     = {Many control engineering tasks nowadays rely on the simulation of complex multi-physics systems. Modern tools allow to build the required dynamic models conveniently, thanks to Object-Oriented Modelling languages, e.g., Modelica, and to perform simulations with hardly any additional effort on the part of the analyst. However, when simulation speed is of concern, the same tools fall short of exploiting some useful properties of the model, namely – to focus on the subject of this work – the possibility of partitioning said model in “weakly” coupled submodels. This work proposes an automatic method to perform a structural analysis aimed at identifying weak couplings in the system, providing the information needed for the mentioned partition. This information is here used to feed a mixed-mode integration method, leading to a significant improvement in terms of simulation speed.},
  author       = {Papadopoulos, Alessandro Vittorio and Åkesson, Johan and Casella, Francesco and Leva, Alberto},
  issn         = {0743-1546},
  language     = {eng},
  location     = {Florence, Italy},
  pages        = {3172--3177},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Automatic Partitioning and Simulation of Weakly Coupled Systems},
  url          = {http://dx.doi.org/10.1109/CDC.2013.6760367},
  year         = {2013},
}