Abstract: The present disclosure is directed to a multi-variant control system for an industrial facility. In one form of a method, a processor monitors a behavior of a distributed control system with respect to at least a set of uncontrolled variables, a set of controlled variables, and a set of monitored variables; trains a model based on the monitored behavior utilizing at least one of artificial intelligence or machine learning; and identifies, based on the model, a subset of controlled variables for optimization. Further, the processor monitors a behavior of the industrial facility without the use of the distributed control system; optimizes, based on the monitored behavior, the subset of controlled variables to obtain a target result and restrict variation of values of the set of monitored values; and executes a control system for the industrial facility based on the optimization of the subset of controlled variables.