Transformation from relative observability to observability
Weilin Wang, Yunfeng Hou, Di Wang, Chaohui Gong · 2017
In order to operate discrete event systems, agents utilize information from observing event sequences. This information is often incomplete due to communication defects, sensor malfunction, etc. Thus, understanding partial observation is essential to operating these systems. We develop, in this paper, an algorithm that reduces relative observability problems to observability problems in the context of centralized systems. Our extended results are in the context of a general language-based dynamic observation setup in which event-based observation in literature is a special case.