Method and device for setting at least one parameter of an actuator control system, actuator control system and data set

Method for automatically setting at least one parameter (θ) of an actuator control system (45), which is set up for controlling a control variable (x) of an actuator (20) to a predefinable target value (xd), wherein the actuator control system (45) is set up, depending on the at least one parameter (θ), the target value (xd) and the control variable (x) to generate a manipulated variable (u) and depending on this manipulated variable (u) to control the actuator (20),

• wherein a new value (θ*) of the at least one parameter (θ) is selected depending on a long-term cost function (R), wherein this long-term cost function (R) is deter-mined depending on a predicted temporal evolution (F) of a probability distribution (P) of the control variable (x) of the actuator (20) and the parameter (□) is then set to this new value (θ*).

Learning system (40) for automatically setting at least one parameter (θ) of an actuator control system (45), which is set up to control a control variable (x) of an actuator (20) to a predefinable target value (xd), wherein said learning system (40) is set up to carry out a method, wherein the actuator control system (45) is set up, depending on the at least one parameter (θ), the target value (xd) and the control variable (x) to generate a manipulated variable (u) and depending on this manipulated variable (u) to control the actuator (20),

• wherein a new value (θ*) of the at least one parameter (θ) is selected depending on a long-term cost function (R), wherein this long-term cost function (R) is deter-mined depending on a predicted temporal evolution (F) of a probability distribution (P) of the control variable (x) of the actuator (20) and the parameter (θ) is then set to this new value (θ*).

A machine-readable storage medium (42) storing a computer program set up to carry out a method for automatically setting at least one parameter (θ) of an actuator control system (45), which is set up for controlling a control variable (x) of an actuator (20) to a predefinable target value (xd), wherein the actuator control system (45) is set up, depending on the at least one parameter (θ), the target value (xd) and the control variable (x) to generate a manipulated variable (u) and depending on this manipulated variable (u) to control the actuator (20), wherein a new value (θ*) of the at least one parameter (θ) is selected de-pending on a long-term cost function (R), wherein this long-term cost function (R) is determined depending on a predicted temporal evolution (F) of a prob-ability distribution (P) of the control variable (x) of the actuator (20) and the parameter (θ) is then set to this new value (θ*).

Actuator control system (45) which is set up to control a control variable (x) of an actuator (20) to a predefinable target value (xd), wherein the actuator control system (45) is set up, depending on at least one parameter (θ) target value (xd) and the control variable (x) to generate a manipulated variable (u) and depending on this manipulated variable (u) to control the actuator (20), wherein the at least one parameter (θ) has been set with a method for automatically setting the at least one parameter (θ) of the actuator control system (45), wherein a new value (θ*) of the at least one parameter (θ) is selected de-pending on a long-term cost function (R), wherein this long-term cost function (R) is determined depending on a predicted temporal evolution (F) of a prob-ability distribution (P) of the control variable (x) of the actuator (20) and the parameter (θ) is then set to this new value (θ*).