"Model predictive Control"
by Jan Maciejowski (University of Cambridge, UK)
Contents:
The course will start with the basic ideas of MPC, together with some specific examples of its advantages over “classical” control. It will then discuss the structure of MPC controllers, present possible variations (such as non-quadratic cost functions and stabilised predictions), and deal with important practicalities, especially disturbance feedforward and disturbance modelling. A state-space framework will be used, but the connection with the well-known GPC framework will be made. The course will then survey the state of recent MPC-related research, covering efficient computation, stability and robustness, prioritisation of objectives, the use of nonlinear models, the application of MPC to hybrid systems (which contain logic or mode switches as well as continuous dynamics), and distributed MPC. The course will be illustrated throughout with examples from various applications.
The course will be presented over 6 lectures between September 30 and October 21, 2009. Lectures will take place in Leuven.
Dates : September 30 and October 01, 02, 19, 20, 21.
Course slidesMore info on the
course website.
