The present invention relates to a practical adaptive neural network controller.; The present invention for achieving the above object, as shown in Fig. 1 will be installed the plant 4 to the last node in the neural network. By doing this the plant installation in the neural network are learned by the output of the plant.; Also it is used as the response and the form that adds an output of the tracking characteristics in order to improve in proportion to a control input 13 which is the input to the plant group or a proportional integrator differentiator or PI (3).
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