Diagnosability of Hybrid Dynamical Networks using Indicator Functions

Abstract

Results for the diagnosability of hybrid dynamical networks are presented. These results give the conditions for which arbitrary events (including faults) in hybrid networks can be detected and isolated using a general class of indicator functions. These results emerge from the overlap of the control theoretic fault detection and isolation (FDI) and… (More)

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