This paper is concerned with a vibration suppression of a flexible concrete distributor arm. The distributor arm is characterized as a highly nonlinear system, and then a neural network is applied to synthesize a self-tuning PD controller. The neural network automatically tunes gains of the PD controller to reduce the vibration level. Emulators with neural networks are constructed in place of a conventional numerical model. Effectiveness of the proposed method is demonstrated through numerical simulations.
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