Multi-model predictive functional control for a nonlinear system

Most of the systems in reality are nonlinear and time-varying and there are many uncertainties under the working conditions. As a result, it is difficult to obtain satisfactory results by using the traditional predictive control method based on a single model. This paper presents a new method - predictive functional control based on multiple models, in which each model set up the local controller and local controller has a weighting and composition of the object controller. The simulation results show that multi-model predictive functional control is superior to a single model control for dynamic quality control system.