Nonlinear robust fault reconstruction and estimation using a sliding mode observer
By Xing-gang Yan, Christopher Edwards. at - Automatisierungstechnik, 2007
588 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/0300487ec4b6128d94a9a48a4c40423027925643
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In Control and Systems Engineering
Citations in the corpus
- Robust H∞ sliding mode observer design for fault estimation in a class of uncertain nonlinear systems with LMI optimization approach (2012, unknown): “Edwards et al. [7,8] proposed an approach based on the equivalent output error injection where the sliding mode was maintained even in the presence of faults which can be reconstructed precisely under certain conditions.”
- Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation (2010, methodology): “The known nominal system model in (3) is similar to the model used in Yan and Edwards (2007).”
- Model-based real-time thermal fault diagnosis of Lithium-ion batteries (2016, methodology): “Several methods have been proposed to deal with fault diagnosis problem in presence of modelling uncertainties, e.g. sliding mode observers (Yan & Edwards, 2007), adaptive estimators (Patton & Klinkhieo, 2009; Patton, Putra, & Klinkhieo, 2010).”