Yiming Bai

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In this paper, a new robust fuzzy inference system is utilized to predict the chaotic time series with noises or outliers. We employ an improved fuzzy rule extraction algorithm using data mining concepts to make the resulting fuzzy system more robust with respect to the input noises or outliers. And the fuzzy inference system is optimized with a partition(More)
This paper presents an adaptive Radial Basis Function (RBF) neural network controller for the nonlinear course control of unmanned surface vessel (USV) with modeling errors and unknown bounded environment disturbances. An adaptive RBF neural network system is employed to approximate the uncertain term induced by modeling errors and unknown bounded(More)
Due to unmanned surface vehicle (USV) has the features of underactuated and nonlinear, it control problems have always been the difficulty in the field of study and course control is the basis of its various controls. So in this paper, nonlinear USV model is identified and model's validity is verified by rotation test and Z test firstly. Then, for the(More)
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