- Tytuł:
- Design of unknown input observers for non-linear stochastic systems and their application to robust fault diagnosis
- Autorzy:
-
Witczak, M.
Korbicz, J.
Józefowicz, R. - Powiązania:
- https://bibliotekanauki.pl/articles/205987.pdf
- Data publikacji:
- 2013
- Wydawca:
- Polska Akademia Nauk. Instytut Badań Systemowych PAN
- Tematy:
-
fault diagnosis
unknown input
unscented Kalman filter
interactive multiple models
non-linear systems - Opis:
- The paper deals with the problem of designing filters for non-linear discrete-time stochastic systems. In particular, it is shown how to design an unknown input filter for a single (constant) unknown input distribution matrix, which guarantees that the effect of a fault will not be decoupled from the residual. Subsequently, the problem of using one, fixed disturbance distribution matrix is eliminatek by using the interacting multiple models algorithm to select an appropriate unknown input distribution matrix from a predefined set of matrices. The final part of the paper shows an illustrative example, which confirms the effectiveness of the proposed approach.
- Źródło:
-
Control and Cybernetics; 2013, 42, 1; 227-256
0324-8569 - Pojawia się w:
- Control and Cybernetics
- Dostawca treści:
- Biblioteka Nauki
Artykuł