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  1. Proceedings of the 7th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools (EOOLT '16)
  2. DESA: Optimization of variable structure modelica models using custom annotations
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Modelica extensions for supporting message passing communication and dynamic data structures
MORAP: a modular robotic arm platform for teaching and experimenting with equation-based modeling languages
Nonlinear model predictive control in modelica using FMI and optimization library
Task graph based system partitioning for multirate integration
Exploiting model graph analysis for simplified modeling and improved diagnostics
The use of Ockham's Razor in object-oriented modeling
DESA: Optimization of variable structure modelica models using custom annotations
Dynamic tearing: efficiency enhancement of tearing methods by consideration of solvability criteria during runtime
Modeling with monads: extensible modeling semantics as syntactic sugar
QSS and multi-rate simulation of object-oriented models

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DESA: Optimization of variable structure modelica models using custom annotations

Content Provider ACM Digital Library
Author Bender, Daniel
Abstract Optimizing system models in order to support the design process of equipment components or whole architectures is part of daily engineering work. Due to the variety of models, the requirements for the functionalities of such libraries are enormous. Finding the optimal structural design (i.e. of a cold plate) through automated optimization exceeds normal needs. Here the model must provide structural variability. In case of the Modelica language this reaches the limit of its functionality of handling such models for optimization. The use of meta-information such as custom annotations can increase the functionality of the Modelica Language. A tool, called DESA, was developed to overcome these limitations and handle variable structure models. This library uses custom annotations to implement the optimization task to the model. Further the model is exported including these meta-information. The DESA optimization tool then allows to set up the optimization task in a Matlab environment and operates the optimization run. In this way the optimization of variable structure models is achieved.
Starting Page 45
Ending Page 54
Page Count 10
File Format PDF
ISBN 9781450342025
DOI 10.1145/2904081.2904088
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-04-18
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Meta-information Modelica Custom annotations Model export Modeling Optimization Variable structure models Tool
Content Type Text
Resource Type Article
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