AI-Driven Implementation of Universal Control

Abstract

Control serves the process technology. Therefore, the optimal implementers of process control should be process engineers rather than control engineers. While process engineers best understand the control requirements of the technology, the inherent complexity of control systems has rendered many process engineers incapable of accomplishing these control tasks ^[1]. The greatest truths are the simplest, from abacus to calculator, from DOS to Windows, each technological revolution has been driven by application-oriented simplification. Can integrated automation in process industries also achieve such extreme simplicity and rapid implementation? This is precisely what this paper aims to explore.