Iterative predictive control of a class of nonlinear systems

A new iterative predictive control method for a class of discrete nonlinear systems is presented by changing the nonlinear model into a global linear model. The method treats the system´s model into an equivalent time-varying model at each sampling instant. The structure of the controller is similar to that of classic PI optimal controller. Its control performance and robustness is superior to traditional predictive control methods which only consider output errors. Simulation results also show it is better than classic PI optimal controller.