  In this paper we investigate multi-agent discrete-event systems with partial
observation. The agents can be divided into several groups in each of which the
agents have similar (isomorphic) state transition structures, and thus can be
relabeled into the same template. Based on the template a scalable supervisor
whose state size and computational cost are independent of the number of agents
is designed for the case of partial observation. The scalable supervisor under
partial observation does not need to be recomputed regardless of how many
agents are added to or removed from the system. We generalize our earlier
results to partial observation by proposing sufficient conditions for safety
and maximal permissiveness of the scalable least restrictive supervisor on the
template level. An example is provided to illustrate the proposed scalable
supervisory synthesis.
