Title data
Köhler, Matthias ; Krügel, Lisa ; Grüne, Lars ; Müller, Matthias A. ; Allgöwer, Frank:
Transient Performance of MPC for Tracking.
In: IEEE Control Systems Letters.
Vol. 7
(2023)
.
 pp. 25452550.
ISSN 24751456
DOI: https://doi.org/10.1109/LCSYS.2023.3287798
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Project information
Project title: 
Project's official title Project's id Performance Analysis for Distributed and Multiobjective Model Predictive Control No information AL 316/112  244600449; GR 1569/132  244602989 No information 

Project financing: 
Deutsche Forschungsgemeinschaft 
Abstract in another language
We analyse the closedloop performance of a model predictive control (MPC) for tracking formulation with artificial references. It has been shown that such a scheme guarantees closedloop stability and recursive feasibility for any reference, even if it is unreachable or timevarying. The basic idea is to consider an artificial reference as an additional deci sion variable and to formulate generalised terminal ingredients with respect to it. In addition, its offset is penalised in the MPC optimisation problem, leading to closedloop convergence to the best reachable reference. In this paper, we provide a transient performance bound on the closed loop using MPC for tracking. We employ mild assumptions on the offset cost and scale it with the prediction horizon. In this case, an increasing horizon in MPC for tracking recovers the infinite horizon optimal solution.
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Transient Performance of MPC for Tracking. (deposited 22 Mar 2023 08:47)

Transient Performance of MPC for Tracking. (deposited 24 Apr 2023 11:19)
 Transient Performance of MPC for Tracking. (deposited 29 Jun 2023 08:37) [Currently Displayed]

Transient Performance of MPC for Tracking. (deposited 24 Apr 2023 11:19)