US 2018/0025288 A1 · SYSTEM MODELING, CONTROL AND OPTIMIZATION

Abstract

A method for modeling a system that includes a disturbance rejection model configured for modeling an operation of the system so to generate a predicted value for a system output. The disturbance rejection model having a network for mapping system inputs to the system output, and input-output pairings, each representing a unique pairing of one of the system inputs with the system output. The method may include the steps of: calculating a confidence metric for a selected input-output pairing of the disturbance rejection model; and recommending a modification be made to the disturbance rejection model based upon the confidence metric calculated for the selected one of the input-output pairing. The confidence metric may indicate a probability that a predicted sign of a gain in the system output made by the disturbance rejection model is correct when the system input of the selected input-output pairing is varied.

Claims32

Dependent claims

A method for modeling a system, the method including a disturbance rejection model configured for modeling an operation of the system so to generate a predicted value for a system output at a future time, the disturbance rejection model further comprising:

a network for mapping system inputs to the system output;
and input-output pairings, each of which represent a unique pairing of one of the system inputs with the system output, the method comprising the steps of:
calculating a confidence metric for a selected one of the input-output pairings of the disturbance rejection model;
and
recommending a modification be made to the disturbance rejection model based upon the confidence metric calculated for the selected one of the input-output pairing;
wherein the confidence metric is configured to indicate a probability that a predicted sign of a gain in the system output at the future time made by the disturbance rejection model is correct when the system input of the selected one of the input-output pairings is varied.

3 more elements

A system comprising:

a power generating unit;
a control system operably connected to the power generating unit for controlling an operation thereof, the control system comprising:
a hardware processor;
and
a machine readable storage medium on which is stored:
a disturbance rejection model;
and
instructions that cause the hardware processor to execute a process related to control of the power generating unit;
wherein the disturbance rejection model models the operation of the power generating unit so to generate a predicted value for an output of the power generating unit at a future time, the disturbance rejection model comprising:
a network for mapping inputs of the power generating unit to the output;
and input-output pairings, each of which represents a unique pairing of one of the inputs with the output;
wherein the process comprises:
calculating a confidence metric for a selected one of the input-output pairings of the disturbance rejection model, wherein the confidence metric comprises a probability that a predicted sign of a gain in the output at the future time made by the disturbance rejection model is correct when the input of the selected one of the input-output pairings is varied;
and
recommending a modification be made to the disturbance rejection model based upon the confidence metric calculated for the selected one of the input-output pairing.

12 more elements

Dependencies are inferred from the claim text.

System modeling, control and optimization

Life of this patent

System modeling, control and optimization

Life of this patent

Abstract

Claims32