02619 Model Predictive Control

02619 Model Predictive Control is given in the fall semester every thursday, 08:00-12:00.

References and Books

• J. M. Maciejowski: Predictive Control with Constraints, Prentice Hall, 2002

• E. F. Camacho & C. Bordons: Model Predictive Control, 2nd Edition, 2007

• James B. Rawlings & David Q. Mayne: Model Predictive Control: Theory and Design, 2009

• John Bagterp Jørgensen: Constrained Predictive Control. A Computational Approach, 2014

Lectures

Lecture 01 - Introduction to Cyber-Physical Systems

Lecture 02 - Modeling and Simulation

Lecture 03 - Case Studies in Modeling and Simulation

Lecture 04 - Distributed Models and Time Delays

Lecture 05 - Realization of Linear Systems

Lecture 06 - State Estimation and Kalman Filtering

Lecture 07 - Model Predictive Control with l2 objective functions

Lecture 08 - Model Predictive Control with soft constraints and other objective functions

Lecture 09 - Economic MPC, Stochastic MPC, and financial applications

Lecture 10 - Nonlinear MPC

Lecture 11 - Nonlinear MPC

Lecture 12 - System Identification and Closed-Loop Simulations

Lecture 13 - Case Studies

Assignments

Assignment 1 - Modeling, Simulation and State Estimation

Assignment 2 - Model Predictive Control