Data flow modeling for batch and hybrid processes.

A modeling approach of complex systems is presented. The goal is to define a modular and noncausal 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 process evolution. In this paper we define the structure of the basic model blocks and the interactions of these blocks through different kinds of signals.