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A robust adaptive wavelet neural network control of uncertain nonlinear system is proposed to make the tracking error asymptotically converges to zero. Wavelet neural networks are used to approach the unknown functions. All the parameters of wavelet neural networks are tuned online. Robust terms are used to compensate the approximate errors. As different from usual robust terms, time-varying parameters...
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