1. Set-based fault detection and isolation for detectable linear parameter-varying systems.
- Author
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Silvestre, Daniel, Rosa, Paulo, Hespanha, João P., and Silvestre, Carlos
- Subjects
- *
FACTORIZATION , *FAULT indicators , *SIMULATION methods & models , *SYSTEM analysis , *SET-valued maps - Abstract
In the context of fault detection and isolation of linear parameter-varying systems, a challenging task appears when the dynamics and the available measurements render the model unobservable, which invalidates the use of standard set-valued observers. Two results are obtained in this paper, namely, using a left-coprime factorization, one can achieve set-valued estimates with ultimately bounded hyper-volume and convergence dependent on the slowest unobservable mode; and by rewriting the set-valued observer equations and taking advantage of a coprime factorization, it is possible to have a low-complexity fault detection and isolation method. Performance is assessed through simulation, illustrating, in particular, the detection time for various types of faults. Copyright © 2017 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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