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
Link To Document :
بازگشت