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Title Parametric Identification of State-Space Dynamic Systems: A Time-Domain Perspective
Authors Nazarenko, Oleksandr Maksymovych
Filchenko, Dmytro Viktorovych
ORCID
Keywords parametric identification
performance measure
non-stationary accelerator
gradient system
macroeconomic dynamics
Type Article
Date of Issue 2008
URI http://essuir.sumdu.edu.ua/handle/123456789/2903
Publisher Kyushu Tokai University
License
Citation International Journal of Innovative Computing, Information and Control Volume 4,Number 7,July 2008
Abstract In this paper we have presented a time-domain approach to parametric identification of state-space dynamic models comprised both an equation of motion and a system potential (a performance measure). The proposed techniques have been elaborated in order to obtain high simulation and forecast properties and applied to systems of nonstationary accelerator, gradient systems, and linear-quadratic stationary systems. We have also demonstrated a new concept of system potential specification in case of linearquadratic stationary systems. It is based on the principle of its basis decomposition as an element of energy space. All models and algorithms have been approbated using real statistical data for models of macroeconomic dynamics. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/2903
Appears in Collections: Наукові видання (ЕлІТ)

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