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- W2977971808 abstract "In this chapter, we extend the decentralized state estimation and event inference techniques discussed in Chap. 9 to distributed settings. We again consider an underlying monolithic system that is modeled as a labeled nondeterministic finite automaton and is observed by multiple observation sites with different observation capabilities (i.e., each site has its own set of observable events). The difference is that we focus on distributed observation architectures, i.e., settings in which each observation site cannot only send its observations, estimates, or decisions to other sites or to a coordinator (if one is present), but it is also able to receive and process similar information from other observation sites (or the coordinator). This should be contrasted with the decentralized protocols of Chap. 9 where the only entity that could receive information was the coordinator. We consider synchronization-based protocols, generalized to apply to such distributed settings, and describe the information exchange strategies and the corresponding run-time executions of the resulting distributed state estimation and event inference algorithms. The chapter also discusses the implications of these distributed protocols on the verification of properties of interest, such as detectability, opacity, and fault diagnosis. In particular, under some choices, certain properties of interest, such as synchronization-based distributed diagnosability which is discussed explicitly, can be verified with complexity that is polynomial in the size of the state space of the given system and exponential in the number of observation sites." @default.
- W2977971808 created "2019-10-10" @default.
- W2977971808 creator A5030551100 @default.
- W2977971808 date "2019-10-02" @default.
- W2977971808 modified "2023-09-26" @default.
- W2977971808 title "Distributed State Estimation" @default.
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- W2977971808 doi "https://doi.org/10.1007/978-3-030-30821-6_10" @default.
- W2977971808 hasPublicationYear "2019" @default.
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