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