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In this paper, based on the well-known back-stepping method, a novel adaptive neural network (NN) control scheme is introduced to achieve a desired tracking performance for a class of uncertain stochastic nonlinear pure-feedback systems. The neural networks are utilized to approximate unknown functions in analysis procedure. Based on the key assumption, the adaptive NN controller only needs to adjust...
The multiresolution analysis learning algorithm (MRAL) for neural networks is proposed to get a more precious model from the noisy data set, which based on Multiresolution Analysis (MRA) of the wavelet transformation and nondominated sorting genetic algorithm-II (NSGA-II). Several different scaled signals of the error function are used as the objections, and NSGA-II algorithm is applied to optimize...
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