Study about decomposition and integration of continuous systems in discrete environment

Abstract : A complex system is one composed of many interacting heterogeneous entities. This kind of system can be dealt with multi-modeling and co-simulation but individual models may also be heterogeneous (continuous , discrete, event-based...). To manage this complexity , we use MECSYCO (Multi-agent Environment for Complex-SYstem CO-simulation) a DEVS compliant environment for co-simulation. MECSYCO handles heterogeneity issues, but the number of models which may interact during a co-simulation of a complex system raises also performance issues. So it's important to develop performance measurement tools to study MECSYCO's co-simulation performances. In this article we present modular performance measurement tools for MECSYCO. We test these tools on our " Multi-Room Heating " model, a scalable continuous system, to assert the tradeoff between accuracy and computational time when integrating continuous system in a discrete modeling environment. Then we study the impact of decomposing a continuous system contained in one FMU into several FMUs which interact. We verify the validity of our tools and we show that, under some conditions, a large model that cannot be solved on one block, can be decomposed into smaller ones, solved and simulated in a co-simulation on MECSYCO without significant loss of accuracy.
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Communication dans un congrès
Annual Simulation Symposium (ANSS), Apr 2016, Pasadena, United States. 2016, Proceedings of the Annual Simulation Symposium (ANSS) 2016
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  • HAL Id : hal-01256969, version 2

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Thomas Paris, Alexandre Tan, Vincent Chevrier, Laurent Ciarletta. Study about decomposition and integration of continuous systems in discrete environment. Annual Simulation Symposium (ANSS), Apr 2016, Pasadena, United States. 2016, Proceedings of the Annual Simulation Symposium (ANSS) 2016. 〈hal-01256969v2〉

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