A LMI approach for designing robust FDI filters with guaranteed fault sensitivity performance

Autor:	David Henry, M. Monsion, F. Castang, A. Zolghadri
Rok vydání:	2003
Předmět:	Singular value Mathematical optimization Robustness (computer science) Control theory Singular value decomposition Filtering theory Linear matrix Residual Fault detection and isolation Mathematics
Zdroj:	SMC (2) Scopus-Elsevier
Popis:	The problem of designing fault detection and isolation (FDI) filters is considered. The approach provides new techniques for designing filters that maximize fault sensitivity (effects of faults on the residual signal), while guaranteeing robustness to noise, disturbances and modeling errors. The design of the FDI filters is formulated in terms of linear matrix inequalities (LMIs) and involves the generalized structured singular value /spl mu//sub g/.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2aa6272062c08d9b4b60cf4b458b65eb https://doi.org/10.1109/icsmc.2002.1175748 Zobrazit plný text záznamu