Adaptive learning control for finite interval tracking based on variable wavelet neural network


This paper is concerned with the nonlinearly parametric adaptive iterative learning control for unknown nonlinear system. Using a variable wavelet neural network (WNN) to approximate unknown nonlinearities, where the number of basis functions gradually increasing following the iterations, a robust state feedback adaptive control approach is derived in the… (More)

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