Analysis of observability and detectability for CSTR model of biochemical processes under uncertain system dynamics and various sets of measured outputs

• Autorzy: Łangowski Rafał , Czyżniewski Mateusz

Identyfikatory

DOI

10.24425/acs.2024.153097

• Języki publikacji: EN

Abstrakty

EN

An analysis of observability and detectability for continuous stirred tank reactor model of selected biochemical processes has been addressed in this paper. In particular, properties of observability or detectability of the considered system model have been proved under uncertain system dynamics in view of various sets of system measured outputs. It is related to considering system dynamics depending on initial conditions and the impact of inputs taking into account a given measured output. The method of indistinguishable state trajectories (indistinguishable dynamics) and tools based on the Lyapunov second method were used to investigate the observability and detectability properties. The analysis was performed for eight cases of different sets of measured outputs with association to the realistic features of measuring devices. The obtained research results are essential for system state estimation that involves the synthesis of state observers. The proposed approach may be successfully applied to the complex biochemical non-linear uncertain systems modelled as continuous stirred tank reactors.

Słowa kluczowe

EN

biochemical system; indistinguishable dynamics; non-linear systems; observability; process modeling

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2024
• Tom: Vol. 34, No. 4
• Strony: 667--696
• Opis fizyczny: Bibliogr. 33 poz., rys., tab., wzory

Twórcy

autor

Łangowski Rafał

• Department of Intelligent Control and Decision Support Systems and Digital Technologies Center, Gdańsk University of Technology, G. Narutowicza 11/12, 80-233 Gdańsk, Poland

• https://orcid.org/0000-0003-1150-9753

autor

Czyżniewski Mateusz

• Department of Intelligent Control and Decision Support Systems, Gdańsk University of Technology, G. Narutowicza 11/12, 80-233 Gdańsk, Poland

• https://orcid.org/0000-0003-3267-9006

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Uwagi

1. Financial support of these studies from Gdańsk University of Technology by the DEC-2/2020/IDUB/I.3.3 grant under the Argentum Triggering Research Grants - ‘Excellence Initiative - Research University’ program is gratefully acknowledged.