Adaptive control with inverse model of a compressed-air aggregate

The paper deals with an application of non-traditional type of neural network, concretely an orthogonal neural network, for adaptive control. It was provided for real control system, i.e. compressed-air aggregate. The paper includes a description of the method of adaptive inverse control, a description of the orthogonal neural network´s structure for this real control system and evaluating of the adaptive control results for the optional learning parameter by the standard control performance criterion. The realization of the adaptive control and of the orthogonal neural network was designed in Matlab/Simulink program.