Abstract
An adaptive neural network control scheme for X-Y position table is proposed by the paper. X-Y position table model is established, controller based on neutral network is used to learn adaptive and compensate uncertainty model of X-Y position table, neutral network is used to study model. Neural network parameters base on stochastic gradient algorithm can be adjusted adaptive on line. Neural network controller base on augmented variable method is designed.
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