Fault estimation in nonlinear uncertain systems using robust/sliding-mode observers
By Bin Jiang, Marcel Staroswiecki, Vincent Cocquempot. 2004
140 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/64bf7a83148241b94f642d6973ca24fc05dcf734
How researchers see this paper
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In Control and Systems Engineering
- Zidong Wang
- Huijun Gao
- Jun Hu
- Hongli Dong
- Lampros K. Stergioulas
- Yugang Niu
- Christopher Edwards
- Xing-gang Yan
Citations in the corpus
- Nonlinear robust fault reconstruction and estimation using a sliding mode observer (2007, background): “, 2004; Yan, Wang, Lü, & Zhang, 1998) when compared with the work in Tan and Edwards (2003) and Jiang et al. (2004). Assumption 2 is a limitation on the uncertain distribution matrix and the fault distribution matrix, and implies that rank([E D]) p.”
- Observer design for systems with unknown inputs (2005, background): “Observers for systems with unknown inputs play an essential role in robust model-based fault detection (Chen and Patton, 1999; Edwards et al., 2000; Edwards and Spurgeon, 1998; Jiang et al., 2004; Saif and Xiong, 2003).”
- Recent Advances on Recursive Filtering and Sliding Mode Design for Networked Nonlinear Stochastic Systems: A Survey (2013, background): “Most research on SMO design has been carried out along this line; see, for example, [141, 142, 144–149].”
- H ∞ sliding mode observer design for a class of nonlinear discrete time‐delay systems: A delay‐fractioning approach (2012, background): “To be specific, by constructing an appropriate SMO, the fault reconstruction and estimation problems have been extensively studied in [7, 14, 27, 30, 40] for uncertain systems.”