Frequency-shifting-based stable on-line algebraic parameter identification of linear systems

Kasać, Josip and Žilić, Tihomir and Milić, Vladimir and Jokić, Andrej (2018) Frequency-shifting-based stable on-line algebraic parameter identification of linear systems. = Frequency-shifting-based stable on-line algebraic parameter identification of linear systems. Journal of the Franklin Institute, 355 (18). pp. 9224-9244. ISSN 0016-0032. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. Kvartili JCR: Q1 (2017). Točan broj autora: 4.

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Abstract

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.

Item Type:	Article (["eprint_fieldopt_article_type_article" not defined])
Keywords (Croatian):	algebraic identification; parameter identification; linear systems; operational calculus
Subjects:	TECHNICAL SCIENCE > Mechanical Engineering
Divisions:	900 Department of Robotics and Production System Automation > 910 Chair of Engineering Automation
Indexed in Web of Science:	Yes
Indexed in Current Contents:	Yes
Quartiles:	Q1 (2017)
Date Deposited:	18 Apr 2017 12:36
Last Modified:	14 Dec 2018 13:16
URI:	http://repozitorij.fsb.hr/id/eprint/7693

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