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In this paper, an adaptive interval type-2 fuzzy neural network (FNN) controller is presented to synchronize multivariable chaotic systems with training data corrupted by noise or rule uncertainties. Adaptive interval type-2 FNN control scheme and sliding mode approach are incorporated to deal with the synchronization of two non-identical chaotic systems. In the meantime, based on the adaptive fuzzy...
In this paper, a new direct adaptive interval type-2 fuzzy controller is proposed to synchronize between two different chaotic time-delay systems with noisy training data or rule uncertainties. Based on the adaptive time-delay interval type-2 fuzzy logic systems in which linguistic fuzzy control rules can be directly incorporated into the controller and by adjusting weights, centers and widths, the...
To synchronize chaotic systems with training data corrupted by noise or rule uncertainties involving external disturbances, a novel direct adaptive interval type-2 fuzzy neural network (FNN) controller in which linguistic fuzzy control rules can be directly incorporated into the controller is developed in this paper. By incorporating direct adaptive interval type-2 FNN control scheme and sliding mode...
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