prikaz prve stranice dokumenta Frequency-shifting-based stable on-line algebraic parameter identification of linear systems
  Download
PDF 491.47 KB
Scientific paper - Original scientific paper
Frequency-shifting-based stable on-line algebraic parameter identification of linear systems
Journal of the Franklin Institute, 355 (2018), 18; 9224-9244. https://doi.org/10.1016/j.jfranklin.2017.03.008
Kasac, Josip; Zilic, Tihomir; Milic, Vladimir; Jokic, Andrej

Cite this document

Kasac, J., Zilic, T., Milic, V. & Jokic, A. (2018). Frequency-shifting-based stable on-line algebraic parameter identification of linear systems. Journal of the Franklin Institute, 355. (18), 9224-9244. doi: 10.1016/j.jfranklin.2017.03.008

Kasac, Josip, et al. "Frequency-shifting-based stable on-line algebraic parameter identification of linear systems." Journal of the Franklin Institute, vol. 355, no. 18, 2018, pp. 9224-9244. https://doi.org/10.1016/j.jfranklin.2017.03.008

Kasac, Josip, Tihomir Zilic, Vladimir Milic and Andrej Jokic. "Frequency-shifting-based stable on-line algebraic parameter identification of linear systems." Journal of the Franklin Institute 355, no. 18 (2018): 9224-9244. https://doi.org/10.1016/j.jfranklin.2017.03.008

Kasac, J., et al. (2018) 'Frequency-shifting-based stable on-line algebraic parameter identification of linear systems', Journal of the Franklin Institute, 355(18), pp. 9224-9244. doi: 10.1016/j.jfranklin.2017.03.008

Kasac J, Zilic T, Milic V, Jokic A. Frequency-shifting-based stable on-line algebraic parameter identification of linear systems. Journal of the Franklin Institute [Internet]. 2018 December [cited 2024 July 05];355(18):9224-9244. doi: 10.1016/j.jfranklin.2017.03.008

J. Kasac, T. Zilic, V. Milic and A. Jokic, "Frequency-shifting-based stable on-line algebraic parameter identification of linear systems", Journal of the Franklin Institute, vol. 355, no. 18, pp. 9224-9244, December 2018. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:235:192053. [Accessed: 05 July 2024]

Please login to the repository to save this object to your list.
Metadata
Title (english)Frequency-shifting-based stable on-line algebraic parameter identification of linear systems
AuthorJosip Kasac
AuthorTihomir Zilic
AuthorVladimir Milic
AuthorAndrej Jokic
Author's institutionUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract (english)
In this paper a new approach to algebraic parameter identification of the linear SISO systems is proposed. The standard approach to the algebraic parameter identification is based on the algebraic derivatives in Laplace domain as the main tool for algebraic manipulations like elimination of the initial conditions and generation of linearly independent equations. This approach leads to the unstable time-varying state-space realization of the filters for the on-line parameter estimation. In this paper, the finite difference and shift operators in combination with the frequency-shifting property of Laplace transform is applied instead of algebraic derivatives. Resulting state-space realization of the estimator filters is asymptotically stable and doesn’t require switch-of mechanism to prevent overflow of the estimator variables. The proposed method is especially suitable for applications in closed-loop on-line identification where the stable behavior of the estimators is a necessary requirement. The efficiency of the proposed algorithm is illustrated on three simulation examples.
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionAccepted version
Journal titleJournal of the Franklin Institute
Numberingvol. 355, no. 18, pp. 9224-9244
BPC0 EUR
p-ISSN0016-0032
DOIhttps://doi.org/10.1016/j.jfranklin.2017.03.008
URN:NBNurn:nbn:hr:235:192053
Publication2018-12
Document URLhttps://linkinghub.elsevier.com/retrieve/pii/S001600321730145X
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-07-04 15:57:14