Theoretical Computer Science
Symbolic model checking for real-time systems
Information and Computation
Proceedings of the DIMACS/SYCON workshop on Hybrid systems III : verification and control: verification and control
Systems and Software Verification: Model-Checking Techniques and Tools
Systems and Software Verification: Model-Checking Techniques and Tools
Verification of logic controllers for continuous plants using timed condition/event-system models
Automatica (Journal of IFAC)
Dynamic simulation of action at operations level
Autonomous Agents and Multi-Agent Systems
Use of timed automata and model-checking to explore scenarios on ecosystem models
Environmental Modelling & Software
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Due to intensification and specialisation of animal production and the increasing pressure of environmental regulations, the careful management of animal wastes becomes a key point for the sustainability of livestock farming. This paper addresses the dynamic representation of a network composed by a set of production units (i.e., livestock farms) that need to transfer their wastes to a set of consumption units (i.e., crops onto which wastes may be spread over). The dynamics of stocks (taken as continuous fluxes with imprecise parameters) is combined with management decisions or actions (taken as discrete events). Various temporal constraints determine the possibilities of waste transfers. For each production or consumption unit, these constraints are modelled as a timed automaton. Possible allocation of wastes is then analysed using model-checking techniques applied to the global timed automaton resulting from the product of all the elementary timed automata. To this end, the Kronos software based on the Timed Computational Tree Logic (TCTL) is used. Our approach is illustrated through the analysis of a typical farming system made of livestock and crop enterprises in the context of the Reunion Island. Using the computer tool implementing this approach, we show how an initial waste management policy can be improved by simulation to find a better waste allocation to crops.