The look-up algorithm of monitoring an object described by non-linear ordinary differential equations

• Autorzy: Hawro Przemysław , Kwater Tadeusz , Bartman Jacek , Kwiatkowski Bogdan

Identyfikatory

DOI

10.24425/bpasts.2023.144603

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

adaptive estimation; polluted river; MATLAB; lookup algorithm; monitoring online

PL

algorytm wyszukiwania; monitorowanie on-line; zanieczyszczenie rzeki; MATLAB; szacowanie adaptacyjne

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2023
• Tom: Vol. 71, nr 2
• Strony: art. no. e144603
• Opis fizyczny: Bibliogr. 27 poz., rys., tab.

Twórcy

autor

Hawro Przemysław

• Institute of Technical Engineering, The State University of Technology and Economics in Jaroslaw, Czarnieckiego 16, 37-500 Jarosław, Poland

• https://orcid.org/0000-0002-7723-1937

autor

Kwater Tadeusz

• Institute of Technical Engineering, The State University of Technology and Economics in Jaroslaw, Czarnieckiego 16, 37-500 Jarosław, Poland

• https://orcid.org/0000-0001-5095-613X

autor

Bartman Jacek

• Institute of Computer Science, University of Rzeszow, Pigonia 1, 35-959 Rzeszów, Poland

• https://orcid.org/0000-0001-7372-2029

autor

Kwiatkowski Bogdan

• Faculty of Electrical and Computer Engineering, Rzeszow University of Technology, Pola 2, 35-959 Rzeszów, Poland

• https://orcid.org/0000-0001-5287-2191

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).