Abstract :
We introduce and study problems of distributed observation with bounded or unbounded memory. We are given a system modeled as a finite-word language L over some finite alphabet Σ and subalphabets Σ1,..., Σn of Σ modeling n distinct observation points. We want to build (when there exist) n observers which collect projections of a behavior in L onto Σ1,..., Σn, then send them to a central decision point. The latter must determine whether the original behavior was in a given K ⊆ L. In the unbounded-memory case, observers record the entire sequence they observe. In the bounded-memory case, they are required to be finite-state automata. We show that, when L is trace-closed with respect to the usual dependence relation induced by Σ1,..., Σn, unbounded-memory observability is equivalent to K being centrally observable and trace-closed, thus decidable. When L is not trace-closed, the problem is undecidable, even if K and L are regular. We also show that bounded-memory observability is equivalent to unbounded-memory observability (thus decidable) when L is trace-closed and Σi are pairwise disjoint. Otherwise, the problem remains open. In the decidable cases, observers and decision function can be automatically synthesized.
Keywords :
decision making; distributed processing; finite automata; observability; bounded memory observability; central decision point; decision function; finite alphabet; finite-state automata; finite-word language; observation points; subalphabets; two-phase distributed observation; unbounded memory observability; Automata; Automatic control; Control systems; Distributed control; Equations; Laboratories; Manufacturing; Monitoring; Observability; Vehicles;