Szczegóły publikacji
Opis bibliograficzny
The finite time state observer and its cooperation with Kalman Filter algorithm / Witold BYRSKI, Mariusz Pelc // W: Modelling, Identification, and Control MIC 2004 [Dokument elektroniczny] : proceedings of the 23rd IASTED international conference : February 23–25, 2004, Grindelwald, Switzerland / ed. M. H. Hamza ; The International Association of Science and Technology for Development. — Wersja do Windows. — Dane tekstowe. — Anaheim ; Calgary ; Zurich : ACTA Press, 2004. — 1 dysk optyczny. — (A Publication of IASTED). — S. 160–165, 412-084. — Wymagania systemowe: Adobe Acrobat Reader ; napęd CD-ROM ; napęd CD-ROM. — Bibliogr. s. 165, Abstr.
Autorzy (2)
- AGHByrski Witold
- Pelc Mariusz
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 19540 |
|---|---|
| Data dodania do BaDAP | 2005-02-05 |
| Rok publikacji | 2004 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Czasopismo/seria | A Publication of IASTED |
Abstract
The theory of an optimal integral Moving Window Observer for exact reconstruction of the state in finite time interval and its application for cooperation with Kalman Filter KF is presented. Exact reconstruction of real state is based on integral functional and finite time interval [0,T] measurement window. The use of MWO which reconstruct the state x(T) exactly (nonasymptotically) is very valuable in control applications. However, because of time consuming calculations its use in on-line mode is possible for slow dynamic systems rather, e.g. in chemical processes. Hence, we present the new idea of only cyclic cooperation of MWO and KF. In this structure the main observer (KF) accomplishes the task of optimal filtering of the state but it does not guarantee the best state tracking. The results of exact state observation x(T) are used for first correction of state estimate (a) over tilde $ (T) =x(T) in KF. The state stabilization with e.g. LQR is based on use of KF. Hence, for t > T it makes possible the exact state reconstruction also. MWO as the special task in real time system is wake-up after any unexpected state disturbances for any t(i)> T and reconstructs the state x(t(i)+T). Application of cyclic corrections of initial estimate in KF by MWO and its comparison with both types of observers working separately in presence of disturbances is showed.
