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Wyświetlanie 1-2 z 2
Tytuł:
The algorithm of adaptive determination of amplification of the PD filter estimating object state on the basis of signal measurable on-line
Autorzy:
Kwater, Tadeusz
Hawro, Przemysław
Bartman, Jacek
Mazur, Damian
Powiązania:
https://bibliotekanauki.pl/articles/1409165.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
estimation
Kalman filter
adaptive PD filter
filter amplification
Opis:
The article presents the algorithm that enables adaptive determination of the amplification coefficient in the filter equation provided by Kalman. The method makes use of an estimation error, which was defined for this purpose, and its derivative to determine the direction of correction changes of the gain vector. This eliminates the necessity to solve Riccati equation, which causes reduction of the method computational complexity. The experimental studies carried out using the proposed approach relate to the estimation of state coordinates describing river pollution using the BOD (biochemical oxygen demand) and DO (dissolved oxygen) indicators).The acquired results indicate that the suggested method does better estimations than the Kalman filter. Two indicators were used to measure the quality of estimates: the Root Mean Squared Error (RMSE) and the Mean Percentage Error (MPE).
Źródło:
Archives of Control Sciences; 2021, 31, 1; 129-143
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The look-up algorithm of monitoring an object described by non-linear ordinary differential equations
Autorzy:
Hawro, Przemysław
Kwater, Tadeusz
Bartman, Jacek
Kwiatkowski, Bogdan
Powiązania:
https://bibliotekanauki.pl/articles/2204529.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
adaptive estimation
polluted river
MATLAB
lookup algorithm
monitoring online
algorytm wyszukiwania
monitorowanie on-line
zanieczyszczenie rzeki
szacowanie adaptacyjne
Opis:
The article proposes an adaptive algorithm that generates all object signals, including those for which measurements are not performed due to the difficulties associated with on-line measurements. The algorithm is modeled on the idea of the Kalman filter using its equation, however, the selection of gains is optimized in a different way, i.e. the constant values depend on the adopted ranges of adaptation errors. Moreover, the knowledge of the statistics of all noise signals is not imposed and there is no linearity constraint. This approach allowed to reduce the complexity of calculations. This algorithm can be used in real-time systems to generate signals of objects described by non-linear differential equations and it is universal, which allows it to be used for various objects. In the conducted research, on the example of a biochemically contaminated river, only easily measurable signals were used to generated the object signals, and in addition, in the case of absence some measurements, the functioning of the algorithm did not destabilize.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 2; art. no. e144603
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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