A controller capable of preventing a control target from being controlled by an abnormal value output from a mathematical model is provided. A controller includes a control unit, the control unit including: a first correction amount computation unit that computes a first correction amount for correction from a command value to a second command value; a second correction amount computation unit that computes a second correction amount for correction from the command value to the second command value; and a correction amount selecting unit that selects either one of the first correction amount and the second correction amount. The first correction amount computation unit computes the first correction amount using a first mathematical model configured by machine learning, and the second correction amount computation unit computes the second correction amount using a second mathematical model configured by a method different from that of the first correction amount computation unit.

A controller capable of preventing a control target from being controlled by an abormal value output from a mathematical model is provided. A controller includes a control unit, the control unit including: a first correction amount computation unit that computes a first correction amount for correction from a command value to a second command value; a second correction amount computation unit that computes a second correction amount for correction from the command value to the second command value; and a correction amount selecting unit that selects either one of the first correction amount and the second correction amount. The first correction amount computation unit computes the first correction amount using a first mathematical model configured by machine learning, and the second correction amount computation unit computes the second correction amount using a second mathematical model configured by a method different from that of the first correction amount computation unit.