Double sigmoid activation function is adopted to improve the BP neural networks to build the piezo-stage's on-line identification model. Then based on the on-line identification model, a neural networks model reference adaptive controller is designed to realize the piezo-stage's high accuracy tracking for micro/nanopositioning. Some experiment has been done to indicate the validity of the control scheme.
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