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Hydentify is a tool for parameter identification of multiaffine hybrid automata (MHA). MHA represent a powerful formalism to model complex dynamical systems. This formalism is particularly suited for the representation of biological systems which often exhibit highly non-linear behavior. In this project, we consider the problem of parameter identification for MHA. We present an abstraction of MHA based on linear hybrid automata, which can be analyzed by the SpaceEx model checker. This abstraction enables a precise handling of time-dependent properties. We demonstrate the potential of our approach on a model of a genetic regulatory network and a myocyte model.

An archive containing the code, tools and models used in the evaluation for the paper Abstraction-based Parameter Synthesis for Multiaffine Systems can be downloaded here.

For more information, please contact Sergiy Bogomolov or Christian Schilling.