Process entropy control for reduced quality loss

A mathematical basis for the guidance of advanced process control systems operating in uncertain environments has been developed. Within this structure entropy functions are derived to provide a unified performance metric for both high-accuracy inner feedback loops and the uncertainty of outer qualitative loops that employ a process description language. With this method process automation is realizable as the mathematical programming solution that minimizes total entropy, with transformation of system-theoretic parameters to identities defining controlled-variable statistical design for quality