DocumentCode
3524046
Title
Mixed LPV/robust stochastic stabilization of LTV systems with uncertain gaussian parametric measures
Author
Jetto, Leopoldo ; Orsini, Valentina
Author_Institution
Dipt. di Ing. Inf. Gestionale e dell´´Autom., Univ. Politec. delle Marche, Ancona, Italy
fYear
2010
fDate
23-25 June 2010
Firstpage
383
Lastpage
388
Abstract
The purpose of this paper is to consider the quadratic stabilization of LPV systems in the realistic case where only gaussian noisy parameter measures are available. Though neglected in the actual literature on LPV systems, this question is particular important because in all situations of a practical interest the parameter measurements (or estimates) are never exact. To face this problem a specifically developed approach consisting of mixed robust and LPV control methods is required. In the present case, an approach based on a vertex result on interval time varying (ITV) matrices is proposed. This allows the solvability conditions to be stated in terms of a set of LMI´s, whose number is independent of the number of time-varying parameters.
Keywords
Gaussian noise; computability; linear matrix inequalities; parameter estimation; robust control; stochastic processes; time-varying systems; uncertain systems; LMI; LTV systems; gaussian noisy parameter measures; interval time varying matrices; linear parameter varying control; mixed LPV-robust stochastic stabilization; quadratic stabilization; solvability conditions; uncertainty; vertex result; Gaussian noise; Linear matrix inequalities; Noise measurement; Output feedback; Robustness; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Control & Automation (MED), 2010 18th Mediterranean Conference on
Conference_Location
Marrakech
Print_ISBN
978-1-4244-8091-3
Type
conf
DOI
10.1109/MED.2010.5547698
Filename
5547698
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