Simultaneous Sensor and Actuator Fault Reconstruction by Using a Sliding Mode Observer, Fuzzy Stability Analysis, and a Nonlinear Optimization Tool

This paper proposes a Takagi–Sugeno (TS) fuzzy sliding mode observer (SMO) for simultaneous actuator and sensor fault reconstruction in a class of nonlinear systems subjected to unknown disturbances. First, the nonlinear system is represented by a TS fuzzy model with immeasurable premise variables....

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Detalles Bibliográficos
Autores principales: Asadi, Samira, Moallem, Mehrdad, Wang, G. Gary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503434/
https://www.ncbi.nlm.nih.gov/pubmed/36146215
http://dx.doi.org/10.3390/s22186866

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503434/
https://www.ncbi.nlm.nih.gov/pubmed/36146215
http://dx.doi.org/10.3390/s22186866

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