Hong-Jian Zhon

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A direct adaptive fuzzy cerebellar model articulation controller (CMAC) is developed for a class of uncertain nonlinear systems. Only the system output measurement is available for feedback. The adjustable weighting factors of the direct adaptive fuzzy CMAC are updated online by an adaptive law. Strictly positive real Lyapunov theory is used to verify the(More)
In the paper, an adaptive learning approach of integrating evolution fuzzy-neural networks and Q-learning is developed so that a mobile robot can adapt itself to a real and complex environment. Specifically, based on Q-value and an evolution method that adjusts their parameter values of the fuzzy-neural networks, the mobile robot evolves better strategies(More)
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