DocumentCode :
2573834
Title :
Invariant set computation for constrained uncertain discrete-time linear systems
Author :
Athanasopoulos, Nikolaos ; Bitsoris, George
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Patras, Rio, Greece
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
5227
Lastpage :
5232
Abstract :
In this article a novel approach to the determination of polytopic invariant sets for constrained discrete-time linear uncertain systems is presented. First, the problem of stabilizing a prespecified initial condition set in the presence of input and state constraints is addressed. Second, the problem of computing an estimate of the maximal positively invariant or controlled invariant set for this class of systems is investigated. An illustrative example, showing the effectiveness of the proposed methods, is presented.
Keywords :
discrete time systems; linear systems; predictive control; set theory; uncertain systems; constrained uncertain discrete time linear system; controlled invariant set computation; input constraint; polytopic invariant set; positively invariant set; state constraint; Approximation algorithms; Approximation methods; Linear systems; Optimization; State feedback; Uncertainty; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
ISSN :
0743-1546
Print_ISBN :
978-1-4244-7745-6
Type :
conf
DOI :
10.1109/CDC.2010.5717500
Filename :
5717500
Link To Document :
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