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Automated simulation of robotic dynamic systems using a new fuzzy-fractal-genetic approach

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2 Author(s)
Castillo, Oscar ; Dept. of Comput. Sci., Tijuana Inst. of Technol., Chula Vista, CA, USA ; Melin, Patricia

We describe a new method for automated simulation of nonlinear dynamical systems. This method is based on a hybrid fuzzy-fractal-genetic approach to achieve, in an efficient way, automated simulation of a particular dynamical system given its mathematical model. The use of genetic algorithms is to achieve automated parameter selection for the mathematical models. The use of fuzzy logic is to simulate the process of expert behavior identification, by implementing the knowledge of identification by a set of fuzzy rules. We also use the concept of the fractal dimension of a time series to help make this identification more accurate. Experimental results for the case of robotic dynamic systems show the efficiency and accuracy of this new method for the simulation of complex nonlinear dynamical systems

Published in:

Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on  (Volume:1 )

Date of Conference:

7-10 May 2000