Control of networks like those for transportation, power distribution, communication to name a few, provides challenges to planning and scheduling. Many problems can be defined in terms of a basic state space model, but more general problems require an expressive language for talking about the topology and connectivity of the system, which are outside the scope of standard planning languages. In this work we introduce a general framework for defining planning languages for networked systems, with capability to express properties of connectivity and topology of such systems.