Petsagkourakis, P;
Heath, WP;
Carrasco, J;
Theodoropoulos, C;
(2020)
Robust Stability of Barrier-Based Model Predictive Control.
IEEE Transactions on Automatic Control
p. 1.
10.1109/tac.2020.3010770.
(In press).
Preview |
Text
09145693.pdf - Accepted Version Download (494kB) | Preview |
Abstract
Conditions for robust input-output stability of barrier-based model predictive control of linear systems with linear and convex nonlinear (hard or soft) constraints are established through the construction of integral quadratic constraints (IQCs). The IQCs can be used to determine sufficient conditions for global closed-loop stability. In particular conditions for robust stability can be obtained in the presence of unstructured model uncertainty. IQCs with both static and dynamic multipliers are developed and appropriate convex searches for the multipliers are presented. The effectiveness of the robust stability analysis is demonstrated through an illustrative numerical example.
| Type: | Article |
|---|---|
| Title: | Robust Stability of Barrier-Based Model Predictive Control |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/tac.2020.3010770 |
| Publisher version: | http://dx.doi.org/10.1109/tac.2020.3010770 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10106558 |
Archive Staff Only
 |
View Item |
