Title: | Methods and tools for simplified dynamic simulations in real time based on expression approximation |
Authors: | Štefan, Marek Šika, Zbyněk Valášek, Michael |
Citation: | Applied and Computational Mechanics. 2007, vol. 1, no. 1, p. 321-328. |
Issue Date: | 2007 |
Publisher: | University of West Bohemia |
Document type: | článek article |
URI: | http://www.kme.zcu.cz/acm/old_acm/full_papers/acm_vol1no1_p037.pdf http://hdl.handle.net/11025/1795 |
ISSN: | 1802-680X (Print) 2336-1182 (Online) |
Keywords: | simulace a modelování;neuro-fuzzy modely;real time simulace;dynamický systém |
Keywords in different language: | simulation and modelling;neuro-fuzzy models;real time simulation;dynamic system |
Abstract: | The core of this paper is the methodology of the dynamicalmodels’ simplification for the real time simulation. The simplified simulation models are based on neuro-fuzzymodelling approach, which was originally designed for predictive control-orientedmodelling of nonlinear dynamical systems. The two ways of the neuro-fuzzymodelling utilization are presented. First, the training of the predictive dynamical neuro-fuzzymodel and, second, the training of the statical approximation of the right-hand side of the system’s state space description. We demonstrate the results on the examples of nonlinear spring damper system and double pendulum. |
Rights: | © 2007 University of West Bohemia. All rights reserved. |
Appears in Collections: | Volume 1, number 1 (2007) Volume 1, number 1 (2007) |
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File | Description | Size | Format | |
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acm_vol1no1_p037.pdf | 6,64 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/1795
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