A control parameter is adjusted without the need to operate a driver of a control target. A control device (10) includes a model identification unit (12), a parameter determination unit (132), a data evaluation unit (131) and an operation data calculation unit (133). The model identification unit (12) identifies a physical model of an operation of the control target. The operation data calculation unit (133) calculates operation data by using the physical model and the control parameter. The data evaluation unit (131) calculates an evaluation value by using normative data of the operation of the control target and the operation data. The parameter determination unit (132) determines the control parameter by using the evaluation value.

A control parameter which causes a servo motor to perform an operation with higher accuracy depending on a purpose and a situation is determined. A control device (10) includes a data evaluation unit (131), a parameter determination unit (132), and an operation data acquisition unit (133). The operation data acquisition unit (133) acquires operation data including a speed or a torque of a servo motor (900). The data evaluation unit (131) calculates an evaluation value by using normative data corresponding to a target of the operation data and the operation data. The parameter determination unit (132) determines a control parameter applied to a servo driver (90) which controls operations of the servo motor (900) by using the evaluation value.

A controller is provided for controlling a power stage of a power converter according to a control law, the control law implementing a specific type of compensator and being pre-designed to generate an objective response of a default power converter for a default parameter value of a component of the power stage. The controller is further configured to determine an actual response for an actual parameter value of the component of the power stage and to alter the control law for the actual parameter value of the component of the power stage such that the actual response matches the objective response. The controller determines a degree of matching between the actual response and the objective response by filtering the actual response to generate a filtered actual response and integrating a product of the filtered actual response and a delayed actual response.

A control method is provided for a power converter configured to generate an output voltage according to a control law controlling a power stage. The method comprises a dual stage identification process for identifying parameters of the power stage. The method includes, in a first stage, identifying at least one parameter of the power stage during ramp up of the power converter and adapting the control law to the identified at least one parameter of said power stage for operating the power converter. The method further includes, in a second stage, determining a response of the power stage; identifying at least one other parameter of the power stage by characterizing the response; and further adapting the control law according to a characteristic of the response.

A control parameter tuning device for tuning a control parameter stored in a control system that controls a controlled object on the basis of a control parameter, includes a model updating module configured to update a controlled-object model that represents the controlled object when tuning a control parameter using data acquired when the controlled object operates; a first search module configured to repeatedly run simulations using the updated controlled-object model to search for a control parameter within a first range, and output a candidate for an optimal value for the control parameter; and a second search module configured to repeatedly operate the controlled object and search for a control parameter within a second range narrower than the first range and determined by the candidate output by the first search module and acquire operation results for the controlled object.

A method for controlling a rotating shaft by breakdown of measurements of said shaft into stationary and disturbance components. The method for controlling a rotating shaft comprises acquisition of a signal to be filtered (step 160); filtering and breakdown of the signal to be filtered into a stationary component and a disturbance component for each time-frequency pairing of the signal to be filtered (step 170); comparison of the stationary component with respect to a setpoint for each time-frequency pairing (step 190); comparison of the disturbance component with respect to said setpoint for each time-frequency pairing (step 200); and generation of a command of an actuator associated with said shaft such that the actuator modifies a rotation and/or positioning parameter of the rotating shaft (step 210).

A system identification device includes: a direct feedthrough term identification unit that receives an impulse response of a dynamic system; a block Hankel matrix generation unit; a singular value decomposition unit that, by singular value decomposition of the block Hankel matrix, outputs a first orthogonal matrix, a second orthogonal matrix, and a singular value; a system dimension determination unit that, on the basis of the first orthogonal matrix, second orthogonal matrix, singular value, and search range, identifies a system matrix other than a direct feedthrough term, and from a comparison of the actual system characteristics and system characteristics calculated on the basis of the system matrix and direct feedthrough term, determines the system dimension; and a system matrix identification unit that identifies a system matrix other than the direct feedthrough term on the basis of the first orthogonal matrix, second orthogonal matrix, singular value, and system dimension.

A compressed air provision device (4) for carrying out a closed-loop control, in particular a closed-loop position control and/or a closed-loop pressure control, on the basis of controller parameters (RP), wherein the compressed air provision device (4) has a machine-learning model (55) and is designed to provide, using the machine-learning model (55), the controller parameters (RP) on the basis of entered system parameters (SP) which describe physical properties of a system (100) in which the compressed air provision device (4) is to be used, and to carry out the closed-loop control on the basis of the provided controller parameters (RP).

A system includes processors configured to perform operations including obtaining a base design resource production of a building asset and a base resource production data set comprising a base resource production of the building asset at a plurality of operating points, calculating a scaled resource production data set comprising a scaled resource production of the building asset at the plurality of operating points by scaling the base resource production data set based on a new design resource production of the building asset relative to the base design resource production of the building asset, generating a resource consumption data set comprising a resource consumption of the building asset at the plurality of operating points based on the scaled resource production data set, and initiating an automated action based on the scaled resource production data set and the resource consumption data set.

A scenario parameter optimization device includes: an object function value calculation unit that calculates an object function value of a predetermined event, and an event occurrence time at which the predetermined event occurs on the basis of an execution result of a simulation test of a scenario including a first agent and a second agent, executed on the basis of a scenario parameter; a responsibility determination unit that determines whether or not the first agent is responsible for the occurrence of the predetermined event from a situation at a responsibility determination time before the event occurrence time, and outputs a result of the determination as a responsibility determination result; and a scenario parameter optimization unit that optimizes the scenario parameter in such a manner that the object function value decreases and the first agent is determined to be responsible for the occurrence of the predetermined event.