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Título : Fuzzy extended state observer for the fault detection and identification
Otros títulos : ISA Transactions Journal
Autor : Prieto Entenza, Pablo J.
Plata-Ante, Corina
Ramírez Villalobos, Ramón
Palabras clave : Extended state observer;Fault detection and identification;Lyapunov stability;Mamdani-type fuzzy system
Sede: Campus Mexicali
Fecha de publicación : nov-2021
Citación : VOL. 19;
Resumen : his paper introduces a novel methodology to detect and identify faults for a class of autonomous nonlinear systems. In the proposed design, a fuzzy extended system observer (FESO) based on the Mandami-type fuzzy system is used to estimate the fault that is considered to be the extended system state. In this method, the Mamdani-type fuzzy system is based on a single-input single-output (SISO) where the observer error is considered as the fuzzy input variable. Additionally, the stability analysis under Lyapunov criteria verifies that the solutions of proposed FESO are ultimately bounded. Finally, simulation examples are given to corroborate the feasibility of the proposed FESO.
metadata.dc.description.url: https://www.sciencedirect.com/science/article/abs/pii/S0019057821005863?via%3Dihub
URI : https://repositorio.cetys.mx/handle/60000/1359
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