Author/Authors
D. Meg?as، نويسنده , , J. Serrano، نويسنده , , C. de Prada، نويسنده ,
DocumentNumber
1384463
Title Of Article
Min–max constrained quasi-infinite horizon model predictive control using linear programming
شماره ركورد
11427
Latin Abstract
In this paper a quasi-infinite horizon 1-norm GPC is presented. This controller, combined with a global uncertainty description and an uncertainty band-updating procedure, has led to a robust algorithm with extremely low computational requirements. Only a linear programming (LP) problem needs to be solved to compute a control profile. This scheme can be successfully applied even to hard non-linear systems with relatively fast dynamics, as the large computational burden related to non-linear model predictive controllers is avoided. Simulation results performed on several constrained non-linear systems are provided.
From Page
495
NaturalLanguageKeyword
Min–max techniques , Predictive control , Robustness , Uncertainty
JournalTitle
Studia Iranica
To Page
505
To Page
505
Link To Document