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ARGESIM is closely co-operating with EUROSIM, the Federation of European Simulation Societies, and with ASIM, the German Simulation Society. About ARGESIM ARGESIM is a non-profit society generally aiming for dissemination of information on system simulation from research via development to applications of system simulation. This copyright regulation holds also for other ARGESIM publications, as conference volumes of ASIM conferences, MATHMOD conferences, and special EUROSIM conferences, in consideration of copyright regulations for related conference publications.
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ARGESIM s primary publication is the journal SNE Simulation Notes Europe with open access to all contributions generally, the authors retain the copyright of their SNE contributions. 55 ISBN: (ebook) DOI: /arep.55 Generic URL: Publication Date: MaNumber of Pages: x pages Copyright 2018 ARGESIM Publisher Copyright Information / Regulations ARGESIM ARGESIM is a non-profit scientific society generally aiming for dissemination of information on system simulation - from research via development to applications of system simulation.
#Mathmod 2018 series#
55, ISBN: (ebook) DOI: /arep.55 iĤ Bibliographic Data: Publisher: ARGESIM Publisher, Vienna Title: MATHMOD 2018 Extended Abstract Volume Subtitle: Extended Abstracts of 9 th Vienna Conference on Mathematical Modelling, Vienna, Austria, February 21 23, 2018 Author(s): Editor(s): Felix Breitenecker, Wolfgang Kemmetmüller, Andreas Körner, Andreas Kugi, Inge Troch Series: ARGESIM Reports Series Editors: Felix Breitenecker, Thorsten Pawletta, Sigrid Wenzel, ASIM Volume: ARGESIM Report no. 55, ISBN: (ebook) DOI: /arep.55ģ MATHMOD 2018 Extended Abstract Volume Extended Abstracts of 9 th Vienna Conference on Mathematical Modelling Vienna, Austria, February 21 23, 2018 Edited by Felix Breitenecker, Wolfgang Kemmetmüller, Andreas Körner, Andreas Kugi, and Inge Troch TU Wien ARGESIM Publisher, Vienna, ARGESIM Report no. DEVS-based hybrid simulation shows to enable better integration of discrete/continuous model aspects also on the semantic level and can potentially achieve higher simulation speed and accuracy.1 MATHMOD 2018 Extended Abstract Volume Extended Abstracts of 9th Vienna Conference on Mathematical Modelling Vienna, Austria, February 21-23, 2018 Edited by Felix Breitenecker, Wolfgang Kemmetmüller, Andreas Körner, Andreas Kugi, and Inge Troch TU Wien ARGESIM Publisher, Vienna, ARGESIM Report no. Both approaches are demonstrated on an example of an industrial conveyor oven. The second approach is based on an extended DEVS formalism that facilitates integration of hybrid aspects on the component level and avoids communication delays during simulation. Typical coupling strategies that introduce communication delays are problematic if discrete variables are involved. To this end, we compare two approaches that facilitate hybrid simulation: Co-simulation couples multiple simulation environments that form a single model and exchange data at runtime. In order to analyze and optimize energy efficiency of complex industrial systems, methods for hybrid simulation are necessary that incorporate discrete as well as continuous aspects while at the same remain manageable for large-scale applications. in: " Proceedings of the 9th Vienna International Conference on Mathematical Modelling (MATHMOD 2018)", Talk: 9th Vienna International Conference on Mathematical Modelling (MATHMOD 2018), " Simulation-based Assessment of Energy Efficiency in Industry: Comparison of Hybrid Simulation Approaches" Talks and Poster Presentations (with Proceedings-Entry):ī.