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Wyświetlanie 1-3 z 3
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
Tytuł:
Controlling the mean arterial pressure by modified model reference adaptive controller based on two optimization algorithms
Autorzy:
Haamed, Rawaa
Hameed, Ekhlas
Powiązania:
https://bibliotekanauki.pl/articles/117814.pdf
Data publikacji:
2020
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
Mean Arterial Pressure
Squirrel Search Algorithm
Model Reference Adaptive Controller
średnie ciśnienie tętnicze
algorytm wyszukiwania
kontroler adaptacyjny odniesienia modelu
Opis:
This paper Presents Modified Model Reference Adaptive Controller (MRAC) to regulate the hight blood pressure. It is based on slate model that repre-sent the mathematical equation that clarifies relationship between blood pressure and vasoactive drug injection. In this work Squirrel Search Algo-rithm (SSA) and Grey Wolf Optimizer (GWO) algorithms are considered to optimize the controller parameters. the results showed that the suggested controller has good performance and stabilize the mean arterial pressure with small settling time (below than 400s) and small overshoot (below than 1 mmHg) with low amount of error.
Źródło:
Applied Computer Science; 2020, 16, 2; 53-67
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Accelerating backtrack search with a best-first-search strategy
Autorzy:
Mann, Z. Á.
Szép, T.
Powiązania:
https://bibliotekanauki.pl/articles/329816.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
best first search
backtrack
branch and bound
constraint satisfaction problem (CSP)
frequent restarting
algorytm wyszukiwania
system backtrack
metoda podziału i ograniczeń
programowanie z ograniczeniami
Opis:
Backtrack-style exhaustive search algorithms for NP-hard problems tend to have large variance in their runtime. This is because “fortunate” branching decisions can lead to finding a solution quickly, whereas “unfortunate” decisions in another run can lead the algorithm to a region of the search space with no solutions. In the literature, frequent restarting has been suggested as a means to overcome this problem. In this paper, we propose a more sophisticated approach: a best-first-search heuristic to quickly move between parts of the search space, always concentrating on the most promising region. We describe how this idea can be efficiently incorporated into a backtrack search algorithm, without sacrificing optimality. Moreover, we demonstrate empirically that, for hard solvable problem instances, the new approach provides significantly higher speed-up than frequent restarting.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2014, 24, 4; 901-916
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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