Samenvatting
The performance of fault detection filters relies on a high sensitivity to faults and a low sensitivity to disturbances. The aim of this paper is to develop an approach to directly shape these sensitivities, expressed in terms of minimum and maximum singular values. The developed method offers an alternative solution to the H -/H ∞ synthesis problem, building upon traditional multiobjective synthesis results. The result is an optimal filter synthesized via iterative convex optimization and the approach is particularly useful for fault diagnosis as illustrated by a numerical example.
Originele taal-2 | Engels |
---|---|
Pagina's (van-tot) | 11311-11316 |
Aantal pagina's | 6 |
Tijdschrift | IFAC-PapersOnLine |
Volume | 56 |
Nummer van het tijdschrift | 2 |
DOI's | |
Status | Gepubliceerd - 1 jul. 2023 |
Evenement | 22nd World Congress of the International Federation of Automatic Control (IFAC 2023 World Congress) - Yokohama, Japan Duur: 9 jul. 2023 → 14 jul. 2023 Congresnummer: 22 https://www.ifac2023.org/ |
Financiering
This work is supported by Topconsortia voor Kennis en Innovatie (TKI), and is supported by ASML Research, Veldhoven, The Netherlands.
Financiers | Financiernummer |
---|---|
ASML | |
Topconsortium voor Kennis en Innovatie |