Neuromorphic adaptive control of hybrid processing on CNC machines

Abstract

The paper considers the possibility of using neuromorphic controllers in adaptive control systems of cyber- physical hybrid processing systems, including 3D printing and subsequent mechanical processing. The application of the Big Data and machine learning technologies for obtaining "digital twins" of hybrid processing is shown. A hardware implementation of "digital twins" of a cyber-physical system as part of a neuromorphic controller as part of automatic control of technological processes on CNC machines is proposed.