Intelligent mathematical modelling and simulation of robotic dynamic systems using a new fuzzy-fractal-genetic approach

Abstract

We describe a novel method for mathematical modelling and simulation (MMS) of nonlinear robotic dynamic systems using fuzzy logic techniques, genetic algorithms and fractal theory. The new fuzzy-fractal-genetic method combines soft computing techniques with mathematical methods for the domain of modelling and simulation of nonlinear robotic systems. This domain is quite complex because it is a well known fact that even simple nonlinear dynamical systems can exhibit chaotic behavior. The new method for MMS of nonlinear robotic dynamic systems has been implemented as a computer program to show that our new fuzzy-fractal-genetic approach is a good alternative for modelling this kind of system.