In this dissertation, the key technology and applications of modelpredictive control software are studied. For implementation and practicalrequirement, the model prediction and local steady-state optimization ofmodel predictive control algorithm are improved. The background, principle,characters of MPC are introduced and discussed the application and developmentof MPC in the Industry controlling domain. The control schemes that are appliedto a processes based on model predictive control are proposed. Implementationsand simulations are given. |