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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 |
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File | Size | Format | Downloads |
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Nazarenko-Filchenko-IJICIC-2008.pdf | 279.29 kB | Adobe PDF | 507446416 |
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