Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
In this paper, we present a new design methodology for synchronous reactive systems, based on a clear separation between control and data flow parts. This methodology allows to fa...
Ouassila Labbani, Jean-Luc Dekeyser, Pierre Boulet
We review state-space control models in order to identify timing properties that can favour flexible scheduling of real-time control tasks. First, from the state-space model of a ...
We build on work in designing modeling languages for hybrid systems in the development of CTA, the Cottbus Timed Automata. Our design features a facility to specify a hybrid system...
Abstract. This paper presents algorithms and data structures that exploit a compositional and hierarchical specification to enable more efficient symbolic modelchecking. We encod...