DYNAMIC CORRECTION OF CONTROL ACTIONS OF THE CONTROL SYSTEM OF A COMPLEX TECHNICAL OBJECT USING NEURAL NETWORK TECHNOLOGIES
The article presents the results of modeling a neural network control system on the example of correcting the control actions of a dynamic object stabilization system along a pitch channel using an identifying artificial neural network and a neural network controller in the neural control scheme, which allow the object to move along a given program trajectory, including taking into account existing disturbances.