A Model Reference Adaptive Control Scheme Based on Neural Network

Author(s):  
Hongjie Hu ◽  
Yuqiao Miao
Author(s):  
F Gomes de Almeida ◽  
K A Edge

The implementation of a decentralized model reference adaptive control scheme for a two-axis robotic manipulator is described. It is shown, through an extensive series of experiments, that very good model-following performance and axis decoupling is achieved regardless of manipulator payload and working position.


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