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Robust fault detection and isolation for LPV systems under a sensitivity constraint
Author(s) -
Armeni Saverio,
Casavola Alessandro,
Mosca Edoardo
Publication year - 2009
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.1044
Subject(s) - fault detection and isolation , control theory (sociology) , nonlinear system , residual , affine transformation , filter (signal processing) , bilinear interpolation , constraint (computer aided design) , linear matrix inequality , sensitivity (control systems) , computer science , engineering , mathematics , mathematical optimization , algorithm , control (management) , electronic engineering , artificial intelligence , quantum mechanics , pure mathematics , computer vision , mechanical engineering , physics
A novel fault detection and isolation (FDI) filter design method is proposed for linear parameter varying (LPV) systems. The LPV system description can be used to approximate the behavior of nonlinear systems and leads to simple nonlinear FDI designs. The main goal here is to obtain residual generator (RG) filters with enhanced fault transmission dc‐gains and large ℋ ∞ nuisance attenuation. This is achieved using bilinear matrix inequality techniques by exploiting the relevant geometrical properties of the affine LPV description. Finally, it is shown by a nonlinear example that the RG filters designed by the proposed method compare well with alternative approaches including direct nonlinear design methods. Copyright © 2008 John Wiley & Sons, Ltd.