A hierarchical observer for a non-linear uncertain CSTR model of biochemical processes - Publikacja - MOST Wiedzy

Wyszukiwarka

A hierarchical observer for a non-linear uncertain CSTR model of biochemical processes

Abstrakt

The problem of estimation of unmeasured state variables and unknown reaction kinetic functions for selected biochemical processes modelled as a continuous stirred tank reactor is addressed in this paper. In particular, a new hierarchical (sequential) state observer is derived to generate stable and robust estimates of the state variables and kinetic functions. The developed hierarchical observer uses an adjusted asymptotic observer and an adopted super-twisting sliding mode observer. The stability of the proposed hierarchical observer is investigated under uncertainty in the system dynamics. The stability analysis of the estimation error dynamics is carried out based on the methodology associated with linear parameter-varying systems and sliding mode regimes. The developed hierarchical observer is implemented in the Matlab/Simulink environment and its performance is validated via simulation. The obtained satisfactory estimation results demonstrate high effectiveness of the devised hierarchical observer.

Cytowania

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
International Journal of Applied Mathematics and Computer Science nr 34, strony 45 - 64,
ISSN: 1641-876X
Język:
angielski
Rok wydania:
2024
Opis bibliograficzny:
Czyżniewski M., Łangowski R.: A hierarchical observer for a non-linear uncertain CSTR model of biochemical processes// International Journal of Applied Mathematics and Computer Science -Vol. 34,iss. 1 (2024), s.45-64
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.61822/amcs-2024-0004
Źródła finansowania:
  • IDUB
Weryfikacja:
Politechnika Gdańska

wyświetlono 41 razy

Publikacje, które mogą cię zainteresować

Meta Tagi