  We aim at characterizing the asymptotic behavior of value functions in the
control of piece-wise deterministic Markov processes (PDMP) of switch type
under nonexpansive assumptions. For a particular class of processes inspired by
temperate viruses, we show that uniform limits of discounted problems as the
discount decreases to zero and time-averaged problems as the time horizon
increases to infinity exist and coincide. The arguments allow the limit value
to depend on initial configuration of the system and do not require dissipative
properties on the dynamics. The approach strongly relies on viscosity
techniques, linear programming arguments and coupling via random measures
associated to PDMP. As an intermediate step in our approach, we present the
approximation of discounted value functions when using piecewise constant (in
time) open-loop policies.
