Automatic Partitioning and Simulation of Weakly Coupled Systems
(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:
https://lup.lub.lu.se/record/4580026
- author
- Papadopoulos, Alessandro Vittorio LU ; Åkesson, Johan LU ; Casella, Francesco and Leva, Alberto
- organization
- publishing date
- 2013
- 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
- 2016-04-01 13:42:50
- date last changed
- 2024-01-09 17:12:49
@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}}, booktitle = {{[Host publication title missing]}}, issn = {{0743-1546}}, language = {{eng}}, pages = {{3172--3177}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Automatic Partitioning and Simulation of Weakly Coupled Systems}}, url = {{https://lup.lub.lu.se/search/files/3545237/4610326.pdf}}, doi = {{10.1109/CDC.2013.6760367}}, year = {{2013}}, }