Indefinite linear MPC and approximated economic MPC for nonlinear systems
Journal article, 2014

The stability proof for economic model predictive control (MPC) relies on strict dissipativity, which is in general hard to check. In this contribution, we will first analyze the linear quadratic case with possibly indefinite cost. The conditions for stability will be recalled and it will be shown that every stabilizing LQR/MPC has an equivalent positive definite LQR/MPC which yields the same open loop and closed loop behavior. This analysis will then be used to formulate an approximated nonlinear economic MPC scheme, which has stability guarantees. An example will be used to illustrate the proposed technique and show its potential in terms of performance.

ALGEBRAIC RICCATI EQUATION

MODEL-PREDICTIVE CONTROL

LQR

COST

Economic MPC

Stability theory for MPC

OPTIMIZATION

Author

M. Zanon

KU Leuven

Sébastien Gros

Chalmers, Signals and Systems, Systems and control

M. Diehl

University of Freiburg

KU Leuven

Journal of Process Control

0959-1524 (ISSN)

Vol. 24 8 1273-1281

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1016/j.jprocont.2014.04.023

More information

Latest update

5/29/2018