FOR more than 20 years, Air Liquide has leveraged multivariable model predictive control (MPC) technology to help optimize the performance of its air separation units (ASU). Many of these units are designed to rapidly adapt to real-time power pricing and changing customer demand. MPC helps, but the company realized its legacy MPC software was becoming increasingly costly to maintain and wasn't taking advantage of technological progress in the fi eld.