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

Abstract

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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