Stabilizing Model Predictive Control Based on Flexible Set-Membership Constraints (CROSBI ID 626666)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ileš, Šandor ; Lazar, Mircea ; Matuško, Jadranko
engleski
Stabilizing Model Predictive Control Based on Flexible Set-Membership Constraints
This paper presents a stabilizing Model Predictive Control (MPC) algorithm based on the off-line computation of a sequence of 1-step controllable sets and a condition that enables flexible, non-monotone convergence towards a suitably chosen terminal set. Such an off-line computed sequence of sets leads to a large region where the MPC algorithm is feasible, regardless of the length of the prediction horizon, while the non-monotone convergence condition is used to improve performance. Both stability and recursive feasibility are guaranteed by construction. The benefits of such an approach are shown in illustrative examples.
Nonlinear model predictive control; stability and recursive feasibility
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Podaci o prilogu
3363-3369.
2015.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 2015 European Control Conference, ECC 2015
Podaci o skupu
European Control Conference, ECC
predavanje
15.07.2015-17.07.2015
Linz, Austrija