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
URI: http://www.kme.zcu.cz/acm/old_acm/full_papers/acm_vol1no1_p037.pdf
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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