Titlebook: Estimation and Inference in Discrete Event Systems; A Model-Based Approa Christoforos N. Hadjicostis Book 2020 Springer Nature Switzerland

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Crumbs from an old Dutch closeton functions, valid sequences of inputs, and languages generated by automata, as well as compositions of automata. The chapter also introduces different observation models, i.e., automata with outputs, such as Moore automata and labeled automata, and establishes the notation used when developing sta

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‘A Wave of Blue’ — The Temperance Armynt system (DES). These tasks include fault diagnosis and event inference, which are directly related to state estimation, as well as supervisory control and optimization/scheduling problems, which are indirectly related to state estimation. This chapter discusses state estimation in DES that are mod

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Granulite-Gneiss Terrane: Limpopo Provinceight be observed by multiple observation sites with distinct observation capabilities. We focus on the case of a single (monolithic) system that is modeled as a labeled nondeterministic finite automaton and assume that each observation site has its own natural projection observation mapping (i.e., e

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