Methodology of applying and implementing provisions of discrete recursive model for self-adjusting adaptive control systems for production appointment

Abstract

An approach is shown that allows building a self-adjusting adaptive control system. The intelligent controller sets the optimum system parameters depending on the operating mode, the properties of the control object and the destabilizing factors. For the application of the system as part of a comprehensive automated control system, the company proposed to use the concept of «foggy computing in a foggy network».