Design and analysis of robust fault diagnosis schemes for a simulated aircraft model
DOI10.1155/2008/274313zbMath1229.93063OpenAlexW2159037957WikidataQ58645461 ScholiaQ58645461MaRDI QIDQ983345
W. Geri, Silvio Simani, Mario Benini, Paolo Castaldi, Marcello Bonfè
Publication date: 22 July 2010
Published in: Journal of Control Science and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2008/274313
robustnessreliabilityMonte Carlo analysissensor fault detection and isolationlinear polynomial method
Sensitivity (robustness) (93B35) Design techniques (robust design, computer-aided design, etc.) (93B51) Linear systems in control theory (93C05)
Related Items (2)
Cites Work
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- Invariants and canonical forms for systems structural and parametric identification
- On the observability codistributions of a nonlinear system
- A geometric approach to the synthesis of failure detection filters
- Effect of model uncertainty on failure detection: the threshold selector
- Observer-based approach to fault detection and isolation for nonlinear systems
- A geometric approach to nonlinear fault detection and isolation
- A direct/functional redundancy scheme for fault detection and isolation on an aircraft
- Fault detection and isolation for on‐board sensors of a general aviation aircraft
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