C. Rekik, M. Djemel, and N. Derbel
Fuzzy logic control, genetic algorithms, optimal control, robot manipulator
This work is aimed at looking into the determination of optimal control strategies of nonlinear systems using hybrid genetic-fuzzy approach. The basic idea consists in the application and the analysis of genetic algorithms (GAs) for the control of two links robot manipulator. Firstly, we use genetic algorithms to optimize control sequences. Secondly, GAs-based fuzzy controller are used to control the manipulator. In this case, GAs tune the parameters of the membership functions and the outputs of a Takagi–Sugeno fuzzy controller.
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