Title :
Intelligent mathematical modelling and simulation of robotic dynamic systems using a new fuzzy-fractal-genetic approach
Author :
Castillo, Oscar ; Melin, Patricia
Author_Institution :
Dept. of Comput. Sci., Tijuana Inst. of Technol., Chula Vista, CA, USA
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
Keywords :
control system analysis computing; digital simulation; fractals; fuzzy set theory; genetic algorithms; knowledge based systems; nonlinear dynamical systems; robot programming; chaotic behavior; computer program; fractal theory; fuzzy logic techniques; fuzzy-fractal-genetic approach; genetic algorithms; intelligent mathematical modelling; mathematical methods; mathematical modelling and simulation; nonlinear robotic dynamic systems; nonlinear robotic systems; robotic dynamic system simulation; simple nonlinear dynamical systems; soft computing techniques; Computational modeling; Computer science; Fractals; Fuzzy logic; Genetic algorithms; Intelligent robots; Intelligent systems; Mathematical model; Nonlinear dynamical systems; Numerical simulation;
Conference_Titel :
Simulation Symposium, 1999. Proceedings. 32nd Annual
Conference_Location :
San Diego, CA
Print_ISBN :
0-7695-0128-1
DOI :
10.1109/SIMSYM.1999.766461
