Model Predictive and Optimal Control

Course Description

Fundamentals of linear system theory. Model Predictive Control, Optimal Control and Filtering of Linear Systems. Basics on optimization. Connection between mathematical programming and optimal control. Linear programming. Quadratic programming. Stability and recursive feasibility of model predictive control. Multi-parametric programming. Explicit solution to the Model Predictive Control problem for Linear Systems. Extension to hybrid systems.

Study Programmes

Postgraduate doctoral study programme

Literature

Jan Marian Maciejowski (2002.), Predictive Control, Pearson Education
Frank L. Lewis, Vassilis L. Syrmos (1995.), Optimal Control, John Wiley & Sons
Francesco Borrelli, Alberto Bemporad, Manfred Morari (2017.), Predictive Control for Linear and Hybrid Systems, Cambridge University Press
James Blake Rawlings, David Q. Mayne (2009.), Model Predictive Control, Nob Hill Pub, Llc
Stephen P. Boyd, Lieven Vandenberghe (2004.), Convex Optimization, Cambridge University Press

For students

General

ID 154350
  Summer semester
6 ECTS
L3 English Level
L1 e-Learning