2024-10-142024-10-142020-12-012020 IEEE Congreso Bienal de Argentina (ARGENCON)978-1-7281-5957-7http://hdl.handle.net/20.500.12272/11624This short work presents the outline of a set of full-order observers, applied to linear parameter varying systems with unknown input. In particular, this approach is used to constructs a strategy to detect and diagnose sensor faults on industrial processes. The observers’ design and its stability conditions are guaranteed in terms of a linear matrix inequalities framework. As a consequence, the main purpose of this paper is to provide a model-based observers’ technique, to detect, isolate and diagnose sensor faults upon non-linear systems. At last, two numerical simulations of typical chemical industrial processes are given to illustrate its implementation and performance.pdfengembargoedAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 InternacionalNon-linear systemsFault detectionFault diagnosisLinear matrix inequalitiesSensor faultsinfo:eu-repo/semantics/conferenceObject.https://ieeexplore.ieee.org/document/9505451