Title :
Robust ℓ∞-induced optimal filtering and its application to target maneuver estimation
Author :
Yaesh, I. ; Shaked, U.
Author_Institution :
Adv. Syst. Div., IMI, Ramat HaSharon
Abstract :
The problem of designing robust filter with guaranteed induced lscrinfin norm for the estimation of the state-vector of finite dimensional discrete-time linear systems is considered. The design process applies a lemma which was recently derived by the authors of this paper, characterizing the induced lscrinfin norm by Linear Matrix Inequalities. The results are applied to a tracking problem with uncertainty in the measurement matrix caused by scale factors.
Keywords :
discrete time filters; linear matrix inequalities; linear systems; state estimation; target tracking; tracking filters; finite dimensional discrete-time linear systems; linear matrix inequalities; measurement matrix; robust lscrinfin-induced optimal filtering; state-vector estimation; target maneuver estimation; uncertain tracking problem; Filtering; Linear matrix inequalities; Linear systems; Noise measurement; Nonlinear filters; Robust control; Robustness; State estimation; Symmetric matrices; White noise;
Conference_Titel :
Control and Automation, 2008 16th Mediterranean Conference on
Conference_Location :
Ajaccio
Print_ISBN :
978-1-4244-2504-4
Electronic_ISBN :
978-1-4244-2505-1
DOI :
10.1109/MED.2008.4601991