Dp 209 en
Algorithms for nonlinear predictive control
Author : Čermák Miroslav
This diploma thesis deals with the model predictive control design and especially with the numerical algorithms for the nonlinear model predictive control (NMPC). In the work, the nonlinear optimization methods based on the sequential quadratic programming suitable for the nonlinear predictive control are reviewed and the basic methods are compared on the simple examples. The nonlinear optimization is then used for the multiple shooting NMPC formulation. The properties of the designed NMPC algorithm are shown on the simple evaporator model.