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Data-Driven Approach To Continuous-Time Fault Isolation from Sampled Data

In this document, a data-driven algorithm to continuous-time observer-based fault isolation from sampled input-output data is considered. The core of the proposed algorithm is to show the advantages with respect previous results such as fault isolation and the capability of consider a special class of nonlinear systems. An example is shown using the algorithm to prove its efficiency as well as a justification of the results.