DocumentCode :
34897
Title :
Robust H2 and H filtering for discrete-time uncertain Linear fractional transform systems
Author :
Sadeghzadeh, Arash
Author_Institution :
Dept. of Electr. Eng., Razi Univ., Kermanshah, Iran
Volume :
9
Issue :
6
fYear :
2015
fDate :
4 13 2015
Firstpage :
882
Lastpage :
892
Abstract :
This study is concerned with the problem of robust H2 and H filtering for uncertain discrete-time linear systems. Two types of time-invariant parametric uncertainty, namely polytopic and ellipsoidal, are considered and represented by a linear fractional transformation structure. Obtained auxiliary variables by a convex optimisation problem, play the role of decoupling the Lyapunov variables and the robust filter parameters, in order to cast the problem into a linear matrix inequality-based optimisation problem. The design conditions are derived based on the quadratic separation concept and employing appropriate parameterisations for the corresponding set of multipliers. The merit of the methods presented in this study lies in their less conservatism than the existing methods for the polytopic uncertain systems, as well as presenting a new convex optimisation procedure for the robust filtering for the ellipsoidal uncertain systems.
Keywords :
H filters; H2 filters; Lyapunov methods; convex programming; discrete time systems; linear matrix inequalities; linear systems; uncertain systems; Lyapunov variable decoupling; convex optimisation problem; discrete-time uncertain linear fractional transform systems; ellipsoidal uncertain systems; linear fractional transformation structure; linear matrix inequality-based optimisation problem; polytopic uncertain systems; quadratic separation concept; robust H filtering; robust H2 filtering; robust filter parameters; time-invariant parametric uncertainty; uncertain discrete-time linear systems;
fLanguage :
English
Journal_Title :
Control Theory & Applications, IET
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta.2014.0381
Filename :
7089396
Link To Document :
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