Patent Document ID: 10161269
Application ID: 15211191
Patent Flag: 1

Claim One:
1. A method for optimizing system output in production systems, comprising: separating, by a processor, one or more initial input variables into a plurality of output variables by performing a causality analysis to identify the output variables, the causality analysis includes increasing a number of control variables and performing a prediction analysis on the output variables, wherein, if increasing the number of control variables causes prediction error for an output variable to decrease, the output variable is designated as a system response variable, and, if increasing the number of control variables causes the prediction error for the output variable to change, according to a predefined threshold, the output variable is designated as an environmental variable, the output variables including environmental variables and system response variables; building, using the processor, a nonparametric estimation that determines a relationship between one or more initial control variables and the system response variables; estimating a global input-output mapping function, using the determined relationship, and a range of the environmental variables; generating one or more optimal control variables from the initial control variables by maximizing the input-output mapping function and the range of the environmental variables; incorporating one or more of the optimal control variables into a production system to increase production output of the production system; and controlling the production system utilizing the one or more optimal control variables to increase the output efficiency.