ROBUST MEASUREMENT SELECTION

Abstract

A measurement selection method is developed in the context of Structured Singular Value (SSV) theory. The method is based on robust performance norm-bounds on transfer functions with direct implications on the sensitivity and robustness of the closed-loop system. Using a high purity distillation column as an example, it is demonstrated that the new measurement selection method can be successfully applied to a realistic problem to yield a measurement set and a controller with robust performance.