Title :
Off-line improvement of multivariable model predictive control robustness
Author :
Stoica, Cristina ; Rodríguez-Ayerbe, Pedro ; Dumur, Didier
Author_Institution :
Supelec, Gif-sur-Yvette
Abstract :
This paper presents a unified off-line methodology to robustify an initial multivariable model predictive stabilizing controller through the convex optimization of a multivariable Youla parameter. The main innovative purpose is to guarantee robust stability under model unstructured uncertainties and nominal performance specifications for the disturbances rejection. This robustification technique is applied to the control of a stirred tank reactor to reduce the influence of unstructured uncertainties on the system, while respecting time-domain templates for disturbances rejection.
Keywords :
chemical reactors; convex programming; multivariable control systems; predictive control; robust control; uncertain systems; convex optimization; disturbances rejection; model unstructured uncertainties; multivariable Youla parameter; multivariable model predictive control robustness; robustification technique; stabilizing controller; stirred tank reactor; Inductors; MIMO; Predictive control; Predictive models; Robust control; Robust stability; Robustness; Time domain analysis; Transfer functions; Uncertainty;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434591
