Intelligent control for pneumatic servo system

This paper presents a novel model reference adaptive control (MRAC) incorporating neural network (NN) for the pneumatic servo system. In the proposed method, the input of the NN are different from which in the conventional method. And there is no need to use the inner parameters of the NN during the learning of the NN. The effectiveness of the proposed scheme is confirmed by experiments using the existent pneumatic servo system.