Abstract
A modelling approach of complex systems is presented. The goal is to define a modular and non-causal representation able to describe hybrid dynamics, and to generate automatically the models corresponding to the different configurations of the real system. These models can then be used to simulate and supervise the process evolution. We define in this paper the structure of the basic model blocks and the interactions of this blocks through different kind of signals.
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