Method for controlling the performance of a target system

A computer implemented method configured to control a target system, comprising:

• generating a model reflecting a relationship between at least one control variable and at least one response variable, wherein the relationship is represented as a mathematical function included in a design space bounded by a minimum and maximum value associated with the at least one control variable;
• designating an initial data point and a target data point on the function based on the minimum and maximum values, respectively;
• mapping, to the function, a midpoint between the initial and target data points;
• determining whether the mapped midpoint is converging toward a desired value associated with the at least one response variable;
• designating the mapped midpoint value as the initial data point on the function;
• repeating the mapping and determining until the mapped midpoint diverges from the desired value;
• modifying the design space such that a last midpoint that converged toward the desired value is designated as the initial data point;
• and
• generating a new model based on the modified design space.

A method for controlling a target system, comprising:

• creating a parameter map including a relationship between a set of parameters and a set of control variables associated with the target system;
• collecting parameter data for each parameter in the parameter set reflecting a dynamic operation of the target system, wherein the parameter data varies as a function of time;
• separating the collected parameter data into temporal based segments;
• determining an average value of each parameter included in each segment;
• populating the parameter map with the average values of each parameter;
• segmenting the parameter map into bins;
• and for each bin,
• generating a model reflecting a relationship between the set of control variables and a set of response variables associated with an operation of the target system based on the average value for each parameter corresponding to the bin;
• determining a set of predicted response data values associated with the set of response variables based on the model,
• adjusting the model until the predicted response data values meet a predetermined criteria, and
• determining a set of control data values corresponding to the set of control variables that are associated with the predicted response variables that meet the predetermined criteria.

A method for controlling a target system, comprising:

• determining a base of information including a first set of control data values associated with a set of control variables;
• generating a model reflecting a relationship between the first set of control data values and a first set of response data values associated with a set of response variables;
• testing the model to determine whether a set of predicted response data values associated with the set of control variables meet a predetermined criteria based on a set of actual response data values associated with the set of response variables;
• adding the set of predicted response data values and the set of actual response data values to the base of information when the set of predicted response data values does not meet the predetermined criteria;
• repeating the generating, testing, and adding until the set of predicted response data values meets the predetermined criteria;
• determining a second set of control data values associated with the set of control variables that, when applied to the target system, will produce a second set of response data values associated with the set of response variables based on the repeating;
• and
• applying the second set of control data values to the target system.

A system configured to control the performance of a target system, comprising:

• a data collection module for determining a design space including a first set of control data values corresponding to a set of control variables;
• a relationship mapping module for generating a model reflecting a relationship between the first set of control data values and a first set of response data values corresponding to a set of response variables;
• a testing module for testing the model to determine whether a set of predicted response data values associated with the set of response variables meets a predetermined criteria based on a set of actual response data values associated with the set of response variables;
• and
• a training module for modifying the design space to obtain a relationship between a second set of control data values corresponding to the set of control variables and a second set of response data values corresponding to the set of response variables,
• wherein the system applies the second set of control data values corresponding to the set of control variables to the target system.

A computer-readable medium including instructions for performing a method, when executed by a processor, for controlling the performance of a target system, the method comprising:

• determining a design space including a first set of control data values associated with a set of control variables;
• generating a model reflecting a relationship between the first set of control data values and a first set of response data values associated with a set of response variables;
• testing the model to determine whether a set of predicted response data values associated with set of response variables meets a predetermined criteria based on a set of actual response data values associated with the set of response variables;
• modifying the design space to obtain a relationship between a second set of control data values associated with the set of control variables and a second set of response data values associated with the set of response variables;
• and
• applying the second set of control data values to the target system.

A computer implemented method for controlling the performance of a target system, comprising:

• generating a model reflecting a relationship between at least one control variable and at least one response variable, wherein the relationship is represented as a mathematical function included in a design space bounded by a minimum and maximum value associated with the at least one control variable;
• A designating an initial data point and a target data point on the function based on minimum and maximum values, respectively;
• mapping, to the function, a midpoint between the initial and target data points;
• determining whether the mapped midpoint is converging toward a desired value associated with the at least one response variable;
• stepping toward the target data point when the mapped midpoint is determined to converge toward a desired value associated with the at least one response variable;
• mapping a new midpoint to the function based on the stepping and repeating the determining and stepping steps until the mapped new midpoint diverges from the desired value;
• stepping back from the midpoint to determine a stepped data point between the midpoint and the initial data point when the mapped new midpoint is determined to diverge from the desired value;
• mapping the stepped data point to the function;
• modifying the design space such that the mapped stepped data point is designated as the initial data point and the mapped new midpoint is designated as the target data point;
• and
• generating a new model based on the modified design space.

A computer-readable medium including instructions for performing a method, when executed by a processor, for controlling the performance of a target system, the method comprising:

• creating a parameter map including a relationship between a set of parameters and a set of control variables associated with the target system;
• collecting parameter data for each parameter in the parameter set reflecting a dynamic operation of the target system, wherein the parameter data varies as a function of time;
• separating the collected parameter data into temporal based segments;
• determining an average value of each parameter included in each segment;
• populating the parameter map with the average values of each parameter;
• segmenting the parameter map into bins;
• and
• for each bin,
• generating a model reflecting a relationship between the set of control variables and a set of response variables associated with an operation of the target system based on the average value for each parameter corresponding to the bin;
• determining a set of predicted response data values associated with the set of response variables based on the model,
• adjusting the model until the predicted response data values meet a predetermined criteria, and
• determining a group of data values corresponding to the set of control variables that are associated with the predicted response data values that meet the predetermined criteria.

A computer-readable medium including instructions for performing a method, when executed by a processor, for controlling the performance of a target system, the method comprising:

• determining a design space including a set of control variables each having a range of values;
• generating a model reflecting a relationship between the set of control variables and a set of response variables;
• testing the model to determine whether a set of predicted response data values associated with the set of response variables meets a predetermined criteria based on a set of actual response data values associated with the set of response variables;
• adjusting the design space based on the set of predicted response data values when the set of predicted response data values does not meet the predetermined criteria;
• repeating the generating, testing, and adjusting until the set of predicted response data values meet the predetermined criteria;
• determining a set of control data values corresponding to the set of control variables that, when applied to the target system, will produce a set of response data values corresponding to the set of response variables based on the repeating;
• and
• applying the set of control data values corresponding to the set of control variables to the target system.

A method for controlling a target system, comprising:

• determining a design space including a first set of control data values associated with a set of control variables;
• generating a model reflecting a relationship between the control variables and a set of response variables;
• testing the model to determine whether a set of predicted response data value associated with the set of response variables meet a predetermined criteria based on a corresponding set of actual response data values associated with the set of response variables;
• modifying the design space to obtain a second relationship between said control variables and said response variables;
• and
• applying a second set of control data values associated with said control variables to the target system based on said second relationship.