DocumentCode :
3203423
Title :
Robust normalised LPV gain scheduling
Author :
El-Zolaidi, H.M.H. ; Jaimoukha, Imad M.
Author_Institution :
Centre for Process Syst. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
Volume :
4
fYear :
1996
fDate :
11-13 Dec 1996
Firstpage :
3982
Abstract :
This paper demonstrate some robustness guarantees to the linear parameter varying (LPV) stabilisation. The idea is to use the inherent robustness to unstructured perturbations facilitated by using the normalised plants. Some parameter dependent weights might be introduced in an open loop design to improve the achieved robustness/performance levels. The resulting gain-scheduled controller is obtained using convex optimisation solvers. To illustrate the technique, a Tokamak design example is presented
Keywords :
control system synthesis; gain control; linear systems; matrix algebra; multidimensional systems; optimisation; robust control; state-space methods; uncertain systems; Tokamak design; convex optimisation; finite dimensional systems; gain scheduling; linear parameter varying systems; open loop systems; robust control; stabilisation; state space; unstructured perturbations; Control system synthesis; Educational institutions; Linear matrix inequalities; Linear systems; Robust control; Robustness; Systems engineering and theory; Tokamaks; Uncertainty; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
ISSN :
0191-2216
Print_ISBN :
0-7803-3590-2
Type :
conf
DOI :
10.1109/CDC.1996.577335
Filename :
577335
Link To Document :
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