Methods and tools for simplified dynamic simulations in real time based on expression approximation
Applied and Computational Mechanics, Vol. 1, No. 1, pp. 321 - 328

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.


real time simulation, LOLIMOT, neuro-fuzzy model, identification of dynamic systems, state space

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