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Pregled bibliografske jedinice broj: 1207931

Flow control process identification using Matlab's System Identification Toolbox


Assani, Nur; Matic, Petar; Kezic, Danko
Flow control process identification using Matlab's System Identification Toolbox // 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), 8 (2022), 1228-1232 doi:10.1109/codit55151.2022.9803906 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1207931 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Flow control process identification using Matlab's System Identification Toolbox

Autori
Assani, Nur ; Matic, Petar ; Kezic, Danko

Izvornik
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2576-3547) 8 (2022); 1228-1232

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Process control ; Control systems ; Mathematical models ; Data models ; System identification ; Digital twins ; Information technology

Sažetak
System identification plays an important role in system control and controller tuning. Data- driven identification provides a behavioristic model of an identified system or process that can be useful for remote controller tuning by simulating the response of an identified system or process. The identification can be performed using various methods, therefore, it is necessary to examine available methods for the case study. The aim of this paper is to describe and perform the identification procedure for the case study of flow control process using the Matlab’s System Identification Toolbox. As a result, a continuous-time transfer function model is formed, which is to be used for PID controller tuning and a digital twin development purposes in further work.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Tehnologija prometa i transport, Temeljne tehničke znanosti



POVEZANOST RADA


Projekti:
EK-EFRR-KK.01.1.1.02.0018 - Funkcionalna integracija Sveučilišta u Splitu, PMF-ST, PF-ST te KTF-ST kroz razvoj znanstveno-istraživačke infrastrukture u Zgradi tri fakulteta (Bučević Popović, Viljemka; Jozić, Dražan; Komar, Ivan; Balić, Nikola; Pleština, Vladimir; Vranješ Markić, Leandra, EK - KK.01.1.1.02) ( CroRIS)

Ustanove:
Pomorski fakultet, Split

Profili:

Avatar Url Danko Kezić (autor)

Avatar Url Petar Matić (autor)

Avatar Url Nur Assani (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Assani, Nur; Matic, Petar; Kezic, Danko
Flow control process identification using Matlab's System Identification Toolbox // 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), 8 (2022), 1228-1232 doi:10.1109/codit55151.2022.9803906 (međunarodna recenzija, članak, znanstveni)
Assani, N., Matic, P. & Kezic, D. (2022) Flow control process identification using Matlab's System Identification Toolbox. 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), 8, 1228-1232 doi:10.1109/codit55151.2022.9803906.
@article{article, author = {Assani, Nur and Matic, Petar and Kezic, Danko}, year = {2022}, pages = {1228-1232}, DOI = {10.1109/codit55151.2022.9803906}, keywords = {Process control, Control systems, Mathematical models, Data models, System identification, Digital twins, Information technology}, journal = {2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)}, doi = {10.1109/codit55151.2022.9803906}, volume = {8}, issn = {2576-3547}, title = {Flow control process identification using Matlab's System Identification Toolbox}, keyword = {Process control, Control systems, Mathematical models, Data models, System identification, Digital twins, Information technology} }
@article{article, author = {Assani, Nur and Matic, Petar and Kezic, Danko}, year = {2022}, pages = {1228-1232}, DOI = {10.1109/codit55151.2022.9803906}, keywords = {Process control, Control systems, Mathematical models, Data models, System identification, Digital twins, Information technology}, journal = {2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)}, doi = {10.1109/codit55151.2022.9803906}, volume = {8}, issn = {2576-3547}, title = {Flow control process identification using Matlab's System Identification Toolbox}, keyword = {Process control, Control systems, Mathematical models, Data models, System identification, Digital twins, Information technology} }

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