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In this paper, hybridization between two artificial intelligence techniques is proposed for the control of inverted pendulum. The controller combines a genetic algorithms technique optimization with fuzzy logic controller. We employ this procedure in a genetic algorithm (GA) to search for the optimal parameters (gains) of fuzzy logic controller. Numerical simulations verify the validity of the proposed...
In this paper, observer-based indirect adaptive fuzzy controller with sliding mode observer is proposed for a class of uncertain nonlinear systems. Using fuzzy logic systems to approximate the unknown nonlinear functions, which are constructed by the state variables, if they are not available, a sliding mode observer is used to estimate the state. Thus, a combination between an adaptive fuzzy control...
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