Robust regression for adaptive control of industrial weight fillers

Abstract

In industrial weight-filling machines, containers are filled with the liquid stored in a tank by an electronically controlled valve. The weight is sensed through a load cell. We develop a learning algorithm that predicts the right closure time as a function of liquid pressure and temperature. The algorithm solves a non-convex robust regression problem and is based on a branch and bound approach in regressors space.