Numerical Methods for Dynamic Optimization

Publication type: 
Other
Author: 
J. Ã…kesson
Publication: 
Course home page
Publisher: 
Department of Automatic Control, Lund University
Year: 
2009
Abstract: 
The course will cover some numerical methods for dynamic optimization, both in off-line and on-line settings. On-line formulations include linear and non-linear Model Predictive Control (MPC) and explicit MPC. The course also covers direct methods based on multiple-shooting and collocation. The course will provide some theoretical foundations and give hands on experience with using numerical methods for dynamic optimization. Matlab, Python and JModelica.org will be used as computing platforms.