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Initialization Algorithms for Coupled Dynamic Systems

Polisi, Labinot LU (2017) In Master's Theses in Mathematical Sciences FMN820 20162
Mathematics (Faculty of Engineering)
Abstract
In this master thesis the consistent initialization problem is studied and three different algorithms were developed regarding the subject area - a graph algorithm used for solving the initialization problem, a parallel algorithm to enable parallel computations when solving the initialization problem and lastly a genetic algorithm used as a preprocessing stage for parallelization.

The thesis is based on the Python package PyFMI, a high-level package developed by Modelon AB for working with models compliant with the FMI standard.

The algorithms were tested on test cases consisting of several synthetic examples as well as in a simulation of a real industrial physical model. The analysis based on these test cases showed that the graph... (More)
In this master thesis the consistent initialization problem is studied and three different algorithms were developed regarding the subject area - a graph algorithm used for solving the initialization problem, a parallel algorithm to enable parallel computations when solving the initialization problem and lastly a genetic algorithm used as a preprocessing stage for parallelization.

The thesis is based on the Python package PyFMI, a high-level package developed by Modelon AB for working with models compliant with the FMI standard.

The algorithms were tested on test cases consisting of several synthetic examples as well as in a simulation of a real industrial physical model. The analysis based on these test cases showed that the graph algorithm outperformed previously algorithms in terms of optimization, a speedup was achieved when using the parallel algorithm and the genetic algorithm was able to further increase the speedup factor. (Less)
Please use this url to cite or link to this publication:
author
Polisi, Labinot LU
supervisor
organization
alternative title
Initialiseringsalgoritmer för kopplade dynamiska system
course
FMN820 20162
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Functional Mock-up Interface, FMI, Co-Simulation, Coupled Systems, Parallel Computations, PyFMI
publication/series
Master's Theses in Mathematical Sciences
report number
LUTFNA-3042-2017
ISSN
1404-6342
other publication id
2017:E53
language
English
id
8927440
date added to LUP
2017-10-25 15:43:40
date last changed
2017-10-25 15:43:40
@misc{8927440,
  abstract     = {In this master thesis the consistent initialization problem is studied and three different algorithms were developed regarding the subject area - a graph algorithm used for solving the initialization problem, a parallel algorithm to enable parallel computations when solving the initialization problem and lastly a genetic algorithm used as a preprocessing stage for parallelization.

The thesis is based on the Python package PyFMI, a high-level package developed by Modelon AB for working with models compliant with the FMI standard.

The algorithms were tested on test cases consisting of several synthetic examples as well as in a simulation of a real industrial physical model. The analysis based on these test cases showed that the graph algorithm outperformed previously algorithms in terms of optimization, a speedup was achieved when using the parallel algorithm and the genetic algorithm was able to further increase the speedup factor.},
  author       = {Polisi, Labinot},
  issn         = {1404-6342},
  keyword      = {Functional Mock-up Interface,FMI,Co-Simulation,Coupled Systems,Parallel Computations,PyFMI},
  language     = {eng},
  note         = {Student Paper},
  series       = {Master's Theses in Mathematical Sciences},
  title        = {Initialization Algorithms for Coupled Dynamic Systems},
  year         = {2017},
}