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Intelligent Mathematical Modelling and Simulation of Robotic Dynamic Systems using a New Fuzzy-Fractal-Genetic Approach
San Diego, California April 11-April 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SIMSYM.1999.766461Thirty-Second Annual Simulation Sympo ...
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Oscar Castillo, Tijuana Institute of Technology
Patricia Melin, Tijuana Institute of Technology
We describe in this paper a new method for Mathematical Modelling and Simulation (MMS) of Non-Linear Robotic Dynamic Systems using Fuuy Logic Techniques, Genetic Algorithms and Fractal Theory. The new fuz.zy-fractal-genetic method combines Soft Computing techniques with mathematical methods for the domain of modelling and simulation of non-linear robotic systems. This domain is quite complex because it is a well known fact that even simple non-linear dynamical systems can exhibit "chaotic" behavior. The new method for MMS of non-linear 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 systems.
Citation:
Oscar Castillo, Patricia Melin, "Intelligent Mathematical Modelling and Simulation of Robotic Dynamic Systems using a New Fuzzy-Fractal-Genetic Approach," ss, pp.112, Thirty-Second Annual Simulation Symposium, 1999
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