Nonlinear output feedback control of a flexible link using adaptive neural network: Controller design

摘要

This paper presents an adaptive output-feedback control method based on neural networks for a flexible link manipulator that is a nonlinear non-minimum phase system. The proposed controller comprises a linear, a neuro-adaptive, and an adaptive robustifying part. The neural network is designed to approximate the matched uncertainties of the system. The inputs of the neural network are the tapped delays of the system input-output signals.