Use of two-stage optimization in model predictive control of stable and integrating systems
A two-stage model predictive control formulation for stable and integrating systems is proposed. The formulation allows the user to solve an economic optimization at steady state to find the most desirable setpoint values for the subsequent dynamic control calculation. The settling values of the integrating outputs are related to a particular input value combination for efficient optimization. A simple numerical example is provided. (C) 2000 Elsevier Science Ltd. All rights reserved.
two-stage optimization model predictive control integrating systems