论文信息 - Neural Networks in Autonomous Vehicle Control

Neural Networks in Autonomous Vehicle Control

Abstract In this paper a Neural Network model-based optimal predictive control for the DC drives of an Autonomous Guiding Vehicle (AGV) is proposed. Inverse statical and direct dynamical Neural Network models are obtained using measurements of the input voltage and speed of the DC drives. The models are applied for real time control of the AGV.

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