System and method for constructing a mathematical model of a system in an artificial intelligence environment

A monitoring and control system operable on a processor and memory, configured to:

• control an operation of an industrial system utilizing a refined mathematical representation of said operation of said industrial system, configured to:
• provide an initial mathematical representation of said industrial system including a combination of terms that include an independent variable that functionally models an expected operation of said industrial system;
• receive correlated first set of monitored data and second set of monitored data from sensors of said industrial system, said first set of monitored data including values for said independent variable;
• input said first set of monitored data to said initial mathematical representation to generate model output data;
• feed said model output data and said second set of monitored data to a comparator that generates error signals representing a difference between members of said model output data and correlated members of said second set of monitored data;
• and
• produce said refined mathematical representation by iteratively varying a parameter of at least one of said combination of terms until a measure of said error signals is reduced to a value such that said model output data over a desired range is approximately equivalent to said second set of monitored data, wherein iterations of varying said parameter are reduced to increase computational efficiency of said monitoring and control system to produce said refined mathematical representation to control said operation of said industrial system.