Method and apparatus for performing optimal control based on dynamic model

Abstract

According to an exemplary embodiment of the present disclosure, a dynamic model based optimal control method performed by a computing device including at least one processor is disclosed. The method includes acquiring state information including at least one state variable; calculating first control information by inputting the state information to a reinforcement learning control model; calculating second control information from the state information based on a feedback control algorithm; determining a sample similarity of the state information using a trained dynamic model; and calculating optimal control information based on the first control information, the second control information, and the sample similarity.