- FMI Library
- Log in
Numerical Methods for Dynamic Optimization
Submitted by jakesson on Thu, 2009-11-19 21:42
Course home page
Department of Automatic Control, Lund University
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.