Design and Simulation of Self-Optimizing Mechatronic Systems with Fujaba and CAMeL (bibtex)
by , ,
Abstract:
Self-Optimizing mechatronic systems which are able to react autonomously and flexibly to changing environments are one promising approach for the next generation of mechanical engineering systems. To render designing such systems possible, an approach is required which goes far beyond what is offered by today�s standard tools for mechatronic systems. In this paper, we outline how a smooth integration between mechanical and software engineering methods and tools supports the design of verifiable, complex, reconfigurable mechatronic systems. The focus of the paper is on enabling the design and simulation of safe reconfigurable mechatronic systems, as reconfiguration is a critical prerequisite for self-optimization.
Reference:
Design and Simulation of Self-Optimizing Mechatronic Systems with Fujaba and CAMeL (Sven Burmester, Holger Giese, Florian Klein), In Proc. of the 2nd International Fujaba Days 2004, Darmstadt, Germany (Andy Schürr, Albert Zündorf, eds.), University of Paderborn, volume tr-ri-04-253, 2004.
Bibtex Entry:
@InProceedings{BGK04b_ag,
AUTHOR = {Burmester, Sven and Giese, Holger and Klein, Florian},
TITLE = {{Design and Simulation of Self-Optimizing Mechatronic Systems with Fujaba and CAMeL}},
YEAR = {2004},
MONTH = {September},
BOOKTITLE = {Proc. of the 2nd International Fujaba Days 2004, Darmstadt, Germany},
VOLUME = {tr-ri-04-253},
PAGES = {19-22},
EDITOR = {Schürr, Andy and Zündorf, Albert},
SERIES = {Technical Report},
PUBLISHER = {University of Paderborn},
URL = {http://www.upb.de/cs/ag-schaefer/Veroeffentlichungen/Quellen/Papers/2004/FD04-BGK.pdf},
ABSTRACT = {Self-Optimizing mechatronic systems which are able to react autonomously and flexibly to changing environments are one promising approach for the next generation of mechanical engineering systems. To render designing such systems possible, an approach is required which goes far beyond what is offered by today\^{a}��s standard tools for mechatronic systems. In this paper, we outline how a smooth integration between mechanical and software engineering methods and tools supports the design of verifiable, complex, reconfigurable mechatronic systems. The focus of the paper is on enabling the design and simulation of safe reconfigurable mechatronic systems, as reconfiguration is a critical prerequisite for self-optimization.}
}
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